All Stories

  1. New formulation for forecasting streamflow: evolutionary polynomial regression vs. extreme learning machine

    Article • Hydrology Research, March 2017, IWA Publishing

    Dr Ozgur Kisi

  2. Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model

    Article • Atmospheric Research, February 2017, Elsevier

    Dr Ozgur Kisi, Professor Ozgur Kisi

  3. Pan evaporation modeling using six different heuristic computing methods in different climates of China

    Article • Journal of Hydrology, January 2017, Elsevier

    Dr Ozgur Kisi, Professor Ozgur Kisi

  4. Joint modelling of annual maximum drought severity and corresponding duration

    Article • Journal of Hydrology, December 2016, Elsevier

    Dr Ozgur Kisi, Professor Ozgur Kisi

  5. Applicability of Several Soft Computing Approaches in Modeling Oxygen Transfer Efficiency at Baffled Chutes

    Article • Journal of Irrigation and Drainage Engineering, November 2016, American Society of Civil Engineers (ASCE)

    Dr Ozgur Kisi, Professor Ozgur Kisi

  6. Discussion of “Estimation of Furrow Irrigation Sediment Loss Using an Artificial Neural Network” by Bradley A. King, David L. Bjorneberg, Thomas J. Trout, Luciano Mateos, Danielle F. Araujo, and Raimundo N. Costa

    Article • Journal of Irrigation and Drainage Engineering, November 2016, American Society of Civil Engineers (ASCE)

    Dr Ozgur Kisi, Professor Ozgur Kisi

  7. Novel Predictive Model of the Debonding Strength for Masonry Members Retrofitted with FRP

    Article • Applied Sciences, November 2016, MDPI AG

    Professor Ozgur Kisi, Dr Ozgur Kisi

  8. Modelling daily reference evapotranspiration in humid locations of South Korea using local and cross-station data management scenarios

    Article • International Journal of Climatology, November 2016, Wiley

    Dr Ozgur Kisi, Professor Ozgur Kisi

  9. Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq

    Article • Journal of Hydrology, November 2016, Elsevier

    Dr Ozgur Kisi, Professor Ozgur Kisi, Dr Ahmed Elshafie

  10. A New Approach for Modeling Sediment-Discharge Relationship: Local Weighted Linear Regression

    Article • Water Resources Management, October 2016, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  11. Estimation of dissolved oxygen by using neural networks and neuro fuzzy computing techniques

    Article • KSCE Journal of Civil Engineering, September 2016, Springer Science + Business Media

    Dr Ozgur Kisi, Professor Ozgur Kisi

  12. Prediction of Water-Level in the Urmia Lake Using the Extreme Learning Machine Approach

    Article • Water Resources Management, September 2016, Springer Science + Business Media

    Dr Shahaboddin Shamshirband, Dr Ozgur Kisi, Professor Ozgur Kisi, Dr S shamshirband

  13. A nonlinear mathematical modeling of daily pan evaporation based on conjugate gradient method

    Article • Computers and Electronics in Agriculture, September 2016, Elsevier

    Dr Ozgur Kisi, Professor Ozgur Kisi, Dr Behrooz Keshtegar

  14. Evaluating the generalizability of GEP models for estimating reference evapotranspiration in distant humid and arid locations

    Article • Theoretical and Applied Climatology, August 2016, Springer Science + Business Media

    Dr Ozgur Kisi, Professor Ozgur Kisi

  15. Discussion of “Monthly Mean Streamflow Prediction Based on Bat Algorithm-Support Vector Machine” by Bing Xing, Rong Gan, Guodong Liu, Zhongfang Liu, Jing Zhang, and Yufeng Ren

    Article • Journal of Hydrologic Engineering, August 2016, American Society of Civil Engineers (ASCE)

    Dr Ozgur Kisi, Professor Ozgur Kisi

  16. Evaluation of peak and residual conditions of actively confined concrete using neuro-fuzzy and neural computing techniques

    Article • Neural Computing and Applications, July 2016, Springer Science + Business Media

    Dr Ozgur Kisi, Professor Ozgur Kisi

  17. Enhancing Long-Term Streamflow Forecasting and Predicting using Periodicity Data Component: Application of Artificial Intelligence

    Article • Water Resources Management, July 2016, Springer Science + Business Media

    Dr Ozgur Kisi, Professor Ozgur Kisi

  18. Reply to the comments on “Comparison of Mann–Kendall and innovative trend method for water quality parameters of the Kizilirmak River, Turkey” by Kisi, O. and Ay, M. [J. Hydrol. 513 (2014) 362–375] and “An innovative method for trend analysis of monthl...

    Article • Journal of Hydrology, July 2016, Elsevier

    Dr Ozgur Kisi, Professor Ozgur Kisi

  19. Water temperature prediction in a subtropical subalpine lake using soft computing techniques

    Article • Earth Sciences Research Journal, July 2016, Universidad Nacional de Colombia

    Dr Ozgur Kisi, Professor Ozgur Kisi

  20. River Stage Forecasting Using Wavelet Packet Decomposition and Machine Learning Models

    Article • Water Resources Management, June 2016, Springer Science + Business Media

    Dr Ozgur Kisi, Professor Ozgur Kisi

  21. Suspended Sediment Modeling Using Neuro-Fuzzy Embedded Fuzzy c-Means Clustering Technique

    Article • Water Resources Management, June 2016, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  22. A nonlinear modelling-based high-order response surface method for predicting monthly pan evaporations

    Article • Hydrology and Earth System Sciences Discussions, June 2016, Copernicus GmbH

    Professor Ozgur Kisi, Dr Ozgur Kisi, Dr Behrooz Keshtegar

  23. A new approach for modeling suspended sediment: Evolutionary fuzzy approach

    Article • Hydrology and Earth System Sciences Discussions, May 2016, Copernicus GmbH

    Professor Ozgur Kisi, Dr Ozgur Kisi

  24. Comparison of six different soft computing methods in modeling evaporation in different climates

    Article • Hydrology and Earth System Sciences Discussions, May 2016, Copernicus GmbH

    Professor Ozgur Kisi, Dr Ozgur Kisi

  25. Soil temperature modeling at different depths using neuro-fuzzy, neural network, and genetic programming techniques

    Article • Theoretical and Applied Climatology, May 2016, Springer Science + Business Media

    Dr Ozgur Kisi, Professor Ozgur Kisi

  26. Modeling reference evapotranspiration using three different heuristic regression approaches

    Article • Agricultural Water Management, May 2016, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  27. Predicting river daily flow using wavelet-artificial neural networks based on regression analyses in comparison with artificial neural networks and support vector machine models

    Article • Neural Computing and Applications, April 2016, Springer Science + Business Media

    Dr Ozgur Kisi, Professor Ozgur Kisi

  28. Evaluation of data driven models for river suspended sediment concentration modeling

    Article • Journal of Hydrology, April 2016, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  29. Modeling and comparison of hourly photosynthetically active radiation in different ecosystems

    Article • Renewable and Sustainable Energy Reviews, April 2016, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  30. Multiple linear regression, multi-layer perceptron network and adaptive neuro-fuzzy inference system for forecasting precipitation based on large-scale climate signals

    Article • Hydrological Sciences Journal, March 2016, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  31. Application of least square support vector machine and multivariate adaptive regression spline models in long term prediction of river water pollution

    Article • Journal of Hydrology, March 2016, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  32. Daily pan evaporation modeling using chi-squared automatic interaction detector, neural networks, classification and regression tree

    Article • Computers and Electronics in Agriculture, March 2016, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  33. Predicting behavior of FRP-confined concrete using neuro fuzzy, neural network, multivariate adaptive regression splines and M5 model tree techniques

    Article • Matériaux et Constructions, January 2016, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  34. Flood Hazard Mapping by Using Geographic Information System and Hydraulic Model: Mert River, Samsun, Turkey

    Article • Advances in Meteorology, January 2016, Hindawi Publishing Corporation

    Professor Ozgur Kisi, Dr Ozgur Kisi

  35. Hydrological Hazards in a Changing Environment: Early Warning, Forecasting, and Impact Assessment

    Article • Advances in Meteorology, January 2016, Hindawi Publishing Corporation

    Professor Ozgur Kisi, Dr Shahaboddin Shamshirband, Dr Ozgur Kisi, Dr S shamshirband

  36. Evapotranspiration Estimation using Six Different Multi-layer Perceptron Algorithms

    Article • Irrigation & Drainage Systems Engineering, January 2016, OMICS Publishing Group

    Dr Ozgur Kisi

  37. Damage detection in structural beam elements using hybrid neuro fuzzy systems

    Article • Smart Structures and Systems, December 2015, Techno-Press

    Dr Ozgur Kisi, Professor Ozgur Kisi

  38. A Wavelet and Neuro-fuzzy Conjunction Model to Forecast Air Temperature Variations at Coastal Sites

    Article • The International Journal of Ocean and Climate Systems, December 2015, SAGE Publications

    Professor Ozgur Kisi, Dr Ozgur Kisi

  39. Short-term and long-term streamflow prediction by using 'wavelet–gene expression' programming approach

    Article • ISH Journal of Hydraulic Engineering, November 2015, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  40. A survey of water level fluctuation predicting in Urmia Lake using support vector machine with firefly algorithm

    Article • Applied Mathematics and Computation, November 2015, Elsevier

    Professor Ozgur Kisi, Dr Shahaboddin Shamshirband, Dr Ozgur Kisi, Dr S shamshirband

  41. Corrigendum to “An innovative method for trend analysis of monthly pan evaporations” [J. Hydrol. 527 (2015) 1123–1129]

    Article • Journal of Hydrology, October 2015, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  42. Lake Level Forecasting Using Wavelet-SVR, Wavelet-ANFIS and Wavelet-ARMA Conjunction Models

    Article • Water Resources Management, September 2015, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  43. Discussion of “Comparison of Wavelet-Based ANN and Regression Models for Reservoir Inflow Forecasting” by Krishna Budu

    Article • Journal of Hydrologic Engineering, September 2015, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  44. Discussion of “Evapotranspiration Modeling Using Second-Order Neural Networks” by Sirisha Adamala, N. S. Raghuwanshi, Ashok Mishra, and Mukesh K. Tiwari

    Article • Journal of Hydrologic Engineering, September 2015, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  45. Applicability of a Fuzzy Genetic System for Crack Diagnosis in Timoshenko Beams

    Article • Journal of Computing in Civil Engineering, September 2015, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  46. Pan evaporation modeling using least square support vector machine, multivariate adaptive regression splines and M5 model tree

    Article • Journal of Hydrology, September 2015, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  47. Independent testing for assessing the calibration of the Hargreaves–Samani equation: New heuristic alternatives for Iran

    Article • Computers and Electronics in Agriculture, September 2015, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  48. Discussion of “Improved Particle Swarm Optimization–Based Artificial Neural Network for Rainfall-Runoff Modeling” by Mohsen Asadnia, Lloyd H. C. Chua, X. S. Qin, and Amin Talei

    Article • Journal of Hydrologic Engineering, September 2015, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  49. Streamflow Forecasting and Estimation Using Least Square Support Vector Regression and Adaptive Neuro-Fuzzy Embedded Fuzzy c-means Clustering

    Article • Water Resources Management, August 2015, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  50. An investigation on generalization ability of artificial neural networks and M5 model tree in modeling reference evapotranspiration

    Article • Theoretical and Applied Climatology, August 2015, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  51. Extreme Learning Machines: A new approach for prediction of reference evapotranspiration

    Article • Journal of Hydrology, August 2015, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  52. An innovative method for trend analysis of monthly pan evaporations

    Article • Journal of Hydrology, August 2015, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  53. Discussion of “Runoff Estimation by Machine Learning Methods and Application to the Euphrates Basin in Turkey” by Abdullah Gokhan Yilmaz and Nitin Muttil

    Article • Journal of Hydrologic Engineering, July 2015, American Society of Civil Engineers (ASCE)

    Dr Nitin Muttil, Professor Ozgur Kisi, Dr Ozgur Kisi

  54. Long-term monthly evapotranspiration modeling by several data-driven methods without climatic data

    Article • Computers and Electronics in Agriculture, July 2015, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  55. Predicting daily pan evaporation by soft computing models with limited climatic data

    Article • Hydrological Sciences Journal, June 2015, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  56. Plunging Flow Depth Estimation in a Stratified Dam Reservoir Using Neuro-Fuzzy Technique

    Article • Water Resources Management, May 2015, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  57. Damage diagnosis in beam-like structures by artificial neural networks

    Article • Journal of Civil Engineering and Management, May 2015, Vilnius Gediminas Technical University

    Professor Ozgur Kisi, Dr Ozgur Kisi

  58. Time series analysis on marine wind-wave characteristics using chaos theory

    Article • Ocean Engineering, May 2015, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  59. Closure to “Comparison of Different Empirical Methods for Estimating Daily Reference Evapotranspiration in Mediterranean Climate” by Ozgur Kisi

    Article • Journal of Irrigation and Drainage Engineering, April 2015, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  60. Prediction of debonding strength for masonry elements retrofitted with FRP composites using neuro fuzzy and neural network approaches

    Article • Composites Part B Engineering, March 2015, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  61. Prediction of long-term monthly precipitation using several soft computing methods without climatic data

    Article • International Journal of Climatology, February 2015, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  62. Importance of hybrid models for forecasting of hydrological variable

    Article • Neural Computing and Applications, February 2015, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  63. Modelling solar radiation reached to the Earth using ANFIS, NN-ARX, and empirical models (Case studies: Zahedan and Bojnurd stations)

    Article • Journal of Atmospheric and Solar-Terrestrial Physics, February 2015, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  64. RETRACTED ARTICLE: Evaluating groundwater level fluctuation by support vector regression and neuro-fuzzy methods: a comparative study

    Article • Natural Hazards, January 2015, Springer Science + Business Media

    Dr S shamshirband, Professor Ozgur Kisi, Dr Shahaboddin Shamshirband, Dr Ozgur Kisi

  65. Modelling long-term monthly temperatures by several data-driven methods using geographical inputs

    Article • International Journal of Climatology, January 2015, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  66. Comparison of Different Data-Driven Approaches for Modeling Lake Level Fluctuations: The Case of Manyas and Tuz Lakes (Turkey)

    Article • Water Resources Management, January 2015, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  67. Daily water level forecasting using wavelet decomposition and artificial intelligence techniques

    Article • Journal of Hydrology, January 2015, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  68. Prediction of Millers Ferry Dam Reservoir Level in USA Using Artificial Neural Network

    Article • Periodica Polytechnica Civil Engineering, January 2015, Periodica Polytechnica Budapest University of Technology and Economics

    Professor Ozgur Kisi, Dr Ozgur Kisi

  69. Forecasting Sea Water Levels at Mukho Station, South Korea Using Soft Computing Techniques

    Article • The International Journal of Ocean and Climate Systems, December 2014, SAGE Publications

    Professor Ozgur Kisi, Dr Ozgur Kisi

  70. Estimation of mean monthly air temperatures in Turkey

    Article • Computers and Electronics in Agriculture, November 2014, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  71. Comparison of heuristic and empirical approaches for estimating reference evapotranspiration from limited inputs in Iran

    Article • Computers and Electronics in Agriculture, October 2014, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  72. Determining Flow Friction Factor in Irrigation Pipes Using Data Mining and Artificial Intelligence Approaches

    Article • Applied Artificial Intelligence, September 2014, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  73. Corrigendum to “Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review” [J. Hydrol. 514 (2014) 358–377]

    Article • Journal of Hydrology, September 2014, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  74. Modeling soil temperatures at different depths by using three different neural computing techniques

    Article • Theoretical and Applied Climatology, August 2014, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  75. Discussion of “Simple ET0 Forms of Penman’s Equation without Wind and/or Humidity Data. I: Theoretical Development” by John D. Valiantzas

    Article • Journal of Irrigation and Drainage Engineering, July 2014, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  76. Investigation of Empirical Mode Decomposition in Forecasting of Hydrological Time Series

    Article • Water Resources Management, June 2014, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  77. Investigation of trend analysis of monthly total precipitation by an innovative method

    Article • Theoretical and Applied Climatology, June 2014, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  78. Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review

    Article • Journal of Hydrology, June 2014, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  79. Discussion of “Evaluation of MLP-ANN Training Algorithms for Modeling Soil Pore-Water Pressure Responses to Rainfall” by M. R. Mustafa, R. B. Rezaur, S. Saiedi, H. Rahardjo, and M. H. Isa

    Article • Journal of Hydrologic Engineering, June 2014, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  80. Determination of Mean Velocity and Discharge in Natural Streams Using Neuro-Fuzzy and Neural Network Approaches

    Article • Water Resources Management, May 2014, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  81. Comparison of Two Different Adaptive Neuro-Fuzzy Inference Systems in Modelling Daily Reference Evapotranspiration

    Article • Water Resources Management, May 2014, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  82. Comparison of Mann–Kendall and innovative trend method for water quality parameters of the Kizilirmak River, Turkey

    Article • Journal of Hydrology, May 2014, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi, Dr. MURAT AY

  83. Modelling of chemical oxygen demand by using ANNs, ANFIS and k-means clustering techniques

    Article • Journal of Hydrology, April 2014, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi, Dr. MURAT AY

  84. Discussion of “Comparison of Artificial Neural Network Models for Sediment Yield Prediction at Single Gauging Station of Watershed in Eastern India” by Ajai Singh, Mohd Imtiyaz, R. K. Isaac, and D. M. Denis

    Article • Journal of Hydrologic Engineering, March 2014, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  85. Modeling solar radiation of Mediterranean region in Turkey by using fuzzy genetic approach

    Article • Proceedings of the Institution of Civil Engineers - Energy, January 2014, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  86. Comparison of Different Empirical Methods for Estimating Daily Reference Evapotranspiration in Mediterranean Climate

    Article • Journal of Irrigation and Drainage Engineering, January 2014, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  87. Modeling of Suspended Sediment Concentration Carried in Natural Streams Using Fuzzy Genetic Approach

    Article • January 2014, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  88. Generalizability of Gene Expression Programming-based approaches for estimating daily reference evapotranspiration in coastal stations of Iran

    Article • Journal of Hydrology, January 2014, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  89. Local vs. external training of neuro-fuzzy and neural networks models for estimating reference evapotranspiration assessed through k-fold testing

    Article • Hydrology Research, December 2013, IWA Publishing

    Professor Ozgur Kisi, Dr Ozgur Kisi

  90. Performance of radial basis and LM-feed forward artificial neural networks for predicting daily watershed runoff

    Article • Applied Soft Computing, December 2013, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  91. Estimation of Monthly Mean Reference Evapotranspiration in Turkey

    Article • Water Resources Management, November 2013, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  92. Applicability of Mamdani and Sugeno fuzzy genetic approaches for modeling reference evapotranspiration

    Article • Journal of Hydrology, November 2013, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  93. Monthly pan evaporation modeling using linear genetic programming

    Article • Journal of Hydrology, October 2013, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  94. Anfis to estimate discharge capacity of rectangular side weir

    Article • Proceedings of the Institution of Civil Engineers - Water Management, October 2013, ICE Publishing

    Professor Ozgur Kisi, Dr Ozgur Kisi

  95. A genetic programming technique for lake level modeling

    Article • Hydrology Research, September 2013, IWA Publishing

    Professor Ozgur Kisi, Dr Ozgur Kisi

  96. Modeling dimensionless longitudinal dispersion coefficient in natural streams using artificial intelligence methods

    Article • KSCE Journal of Civil Engineering, September 2013, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  97. Estimation of daily dew point temperature using genetic programming and neural networks approaches

    Article • Hydrology Research, August 2013, IWA Publishing

    Professor Ozgur Kisi, Dr Ozgur Kisi

  98. Evolutionary neural networks for monthly pan evaporation modeling

    Article • Journal of Hydrology, August 2013, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  99. Predicting groundwater level fluctuations with meteorological effect implications—A comparative study among soft computing techniques

    Article • Computers & Geosciences, July 2013, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  100. Fuzzy Genetic Approach for Estimating Reference Evapotranspiration of Turkey: Mediterranean Region

    Article • Water Resources Management, May 2013, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  101. Prediction of long-term monthly air temperature using geographical inputs

    Article • International Journal of Climatology, March 2013, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  102. Neuro-fuzzy and neural network techniques for forecasting sea level in Darwin Harbor, Australia

    Article • Computers & Geosciences, March 2013, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  103. Evaluation of different data management scenarios for estimating daily reference evapotranspiration

    Article • Hydrology Research, February 2013, IWA Publishing

    Professor Ozgur Kisi, Dr Ozgur Kisi

  104. Estimating Daily Pan Evaporation Using Different Data-Driven Methods and Lag-Time Patterns

    Article • Water Resources Management, February 2013, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  105. Estimation of dew point temperature using neuro-fuzzy and neural network techniques

    Article • Theoretical and Applied Climatology, February 2013, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  106. Modeling rainfall-runoff process using soft computing techniques

    Article • Computers & Geosciences, February 2013, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  107. Global cross-station assessment of neuro-fuzzy models for estimating daily reference evapotranspiration

    Article • Journal of Hydrology, February 2013, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  108. Prediction of Discharge Coefficient for Trapezoidal Labyrinth Side Weir Using a Neuro-Fuzzy Approach

    Article • Water Resources Management, January 2013, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  109. Estimation of Reference Evapotranspiration: Need for Generalized Models

    Article • Irrigation & Drainage Systems Engineering, January 2013, OMICS Publishing Group

    Professor Ozgur Kisi, Dr Ozgur Kisi

  110. Modeling monthly pan evaporations using fuzzy genetic approach

    Article • Journal of Hydrology, January 2013, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  111. Damage detection in Timoshenko beam structures by multilayer perceptron and radial basis function networks

    Article • Neural Computing and Applications, November 2012, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  112. Comparison of Gene Expression Programming with neuro-fuzzy and neural network computing techniques in estimating daily incoming solar radiation in the Basque Country (Northern Spain)

    Article • Energy Conversion and Management, October 2012, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi, J. Javier López

  113. Estimation of Daily Pan Evaporation Using Two Different Adaptive Neuro-Fuzzy Computing Techniques

    Article • Water Resources Management, September 2012, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  114. Estimation of Daily Suspended Sediment Load by Using Wavelet Conjunction Models

    Article • Journal of Hydrologic Engineering, September 2012, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  115. Forecasting daily stream flows using artificial intelligence approaches

    Article • ISH Journal of Hydraulic Engineering, September 2012, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  116. Modeling discharge-suspended sediment relationship using least square support vector machine

    Article • Journal of Hydrology, August 2012, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  117. Estimating daily reference evapotranspiration using available and estimated climatic data by adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN)

    Article • Hydrology Research, July 2012, IWA Publishing

    Professor Ozgur Kisi, Dr Ozgur Kisi

  118. Prediction of fatty acid composition of vegetable oils based on rheological measurements using nonlinear models

    Article • European Journal of Lipid Science and Technology, July 2012, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  119. Suspended sediment modeling using genetic programming and soft computing techniques

    Article • Journal of Hydrology, July 2012, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  120. Application of Non-linear Models to Predict Inhibition Effects of Various Plant Hydrosols on Listeria monocytogenes Inoculated on Fresh-Cut Apples

    Article • Foodborne Pathogens and Disease, July 2012, Mary Ann Liebert Inc

    Professor Ozgur Kisi, Dr Ozgur Kisi

  121. Pan Evaporation Modeling Using Neural Computing Approach for Different Climatic Zones

    Article • Water Resources Management, June 2012, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  122. SVM, ANFIS, regression and climate based models for reference evapotranspiration modeling using limited climatic data in a semi-arid highland environment

    Article • Journal of Hydrology, June 2012, Elsevier

    Dr Hossein Tabari, Professor Ozgur Kisi, Dr Ozgur Kisi

  123. River suspended sediment estimation by climatic variables implication: Comparative study among soft computing techniques

    Article • Computers & Geosciences, June 2012, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  124. Modeling of Dissolved Oxygen Concentration Using Different Neural Network Techniques in Foundation Creek, El Paso County, Colorado

    Article • Journal of Environmental Engineering, June 2012, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi, Dr. MURAT AY

  125. Precipitation forecasting by using wavelet-support vector machine conjunction model

    Article • Engineering Applications of Artificial Intelligence, June 2012, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  126. Forecasting Water Level Fluctuations of Urmieh Lake using Gene Expression Programming and Adaptive Neuro-Fuzzy Inference System

    Article • The International Journal of Ocean and Climate Systems, June 2012, SAGE Publications

    Professor Ozgur Kisi, Dr Ozgur Kisi

  127. Modeling antimicrobial effect of different grape pomace and extracts on S. aureus and E. coli in vegetable soup using artificial neural network and fuzzy logic system

    Article • Expert Systems with Applications, June 2012, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  128. REPLY to Discussion of “Precipitation Forecasting Using Wavelet-Genetic Programming and Wavelet-Neuro-Fuzzy Conjunction Models”

    Article • Water Resources Management, May 2012, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  129. Least squares support vector machine for modeling daily reference evapotranspiration

    Article • Irrigation Science, April 2012, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  130. Forecasting daily lake levels using artificial intelligence approaches

    Article • Computers & Geosciences, April 2012, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  131. Generalized Neurofuzzy Models for Estimating Daily Pan Evaporation Values from Weather Data

    Article • Journal of Irrigation and Drainage Engineering, April 2012, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  132. Modeling discharge–sediment relationship using neural networks with artificial bee colony algorithm

    Article • Journal of Hydrology, March 2012, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  133. Prediction of lateral outflow over triangular labyrinth side weirs under subcritical conditions using soft computing approaches

    Article • Expert Systems with Applications, February 2012, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  134. River Flow Estimation and Forecasting by Using Two Different Adaptive Neuro-Fuzzy Approaches

    Article • Water Resources Management, February 2012, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  135. Investigating chaos in river stage and discharge time series

    Article • Journal of Hydrology, January 2012, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  136. Daily reference evapotranspiration modeling by using genetic programming approach in the Basque Country (Northern Spain)

    Article • Journal of Hydrology, January 2012, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi, J. Javier López

  137. Wavelet and neuro-fuzzy conjunction model for streamflow forecasting

    Article • Hydrology Research, December 2011, IWA Publishing

    Professor Ozgur Kisi, Dr Ozgur Kisi

  138. A combined generalized regression neural network wavelet model for monthly streamflow prediction

    Article • KSCE Journal of Civil Engineering, November 2011, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  139. Prediction of Short-Term Operational Water Levels Using an Adaptive Neuro-Fuzzy Inference System

    Article • Journal of Waterway Port Coastal and Ocean Engineering, November 2011, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  140. Intermittent Streamflow Forecasting by Using Several Data Driven Techniques

    Article • Water Resources Management, October 2011, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  141. Modeling Reference Evapotranspiration Using Evolutionary Neural Networks

    Article • Journal of Irrigation and Drainage Engineering, October 2011, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  142. Comparison of genetic programming with neuro-fuzzy systems for predicting short-term water table depth fluctuations

    Article • Computers & Geosciences, October 2011, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  143. Wind Speed Prediction by using Different Wavelet Conjunction Models

    Article • The International Journal of Ocean and Climate Systems, September 2011, SAGE Publications

    Professor Ozgur Kisi, Dr Ozgur Kisi

  144. River Suspended Sediment Load Prediction: Application of ANN and Wavelet Conjunction Model

    Article • Journal of Hydrologic Engineering, August 2011, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  145. Application of Artificial Intelligence to Estimate Daily Pan Evaporation Using Available and Estimated Climatic Data in the Khozestan Province (South Western Iran)

    Article • Journal of Irrigation and Drainage Engineering, July 2011, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  146. Precipitation Forecasting Using Wavelet-Genetic Programming and Wavelet-Neuro-Fuzzy Conjunction Models

    Article • Water Resources Management, June 2011, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  147. Comparison of three artificial intelligence techniques for discharge routing

    Article • Journal of Hydrology, June 2011, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi, Rahman Khatibi

  148. Two hybrid Artificial Intelligence approaches for modeling rainfall–runoff process

    Article • Journal of Hydrology, May 2011, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  149. Performance Evaluation of ANN and ANFIS Models for Estimating Garlic Crop Evapotranspiration

    Article • Journal of Irrigation and Drainage Engineering, May 2011, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  150. Prediction of Effect of Natural Antioxidant Compounds on Hazelnut Oil Oxidation by Adaptive Neuro-Fuzzy Inference System and Artificial Neural Network

    Article • Journal of Food Science, April 2011, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  151. Use of artificial neural networks for prediction of discharge coefficient of triangular labyrinth side weir in curved channels

    Article • Advances in Engineering Software, April 2011, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  152. A wavelet-support vector machine conjunction model for monthly streamflow forecasting

    Article • Journal of Hydrology, March 2011, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  153. Neural networks for estimation of discharge capacity of triangular labyrinth side-weir located on a straight channel

    Article • Expert Systems with Applications, January 2011, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  154. Neural networks with artificial bee colony algorithm for modeling daily reference evapotranspiration

    Article • Irrigation Science, December 2010, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  155. Reply to the Discussion of “Evapotranspiration modelling using support vector machines” by R. J. Abrahartet al.

    Article • Hydrological Sciences Journal, November 2010, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  156. Discussion of “Application of neural network and adaptive neuro-fuzzy inference systems for river flow prediction”*

    Article • Hydrological Sciences Journal, November 2010, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  157. Frequency analyses of annual extreme rainfall series from 5 min to 24 h

    Article • Hydrological Processes, November 2010, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  158. Short-term and long-term streamflow forecasting using a wavelet and neuro-fuzzy conjunction model

    Article • Journal of Hydrology, November 2010, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  159. Estimation of Suspended Sediment Yield in Natural Rivers Using Machine-coded Linear Genetic Programming

    Article • Water Resources Management, October 2010, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  160. Evapotranspiration Modeling Using Linear Genetic Programming Technique

    Article • Journal of Irrigation and Drainage Engineering, October 2010, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  161. Wavelet Regression Model as an Alternative to Neural Networks for River Stage Forecasting

    Article • Water Resources Management, September 2010, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  162. Evapotranspiration modeling using a wavelet regression model

    Article • Irrigation Science, August 2010, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  163. Wavelet regression model for short-term streamflow forecasting

    Article • Journal of Hydrology, August 2010, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  164. Discussion of “Daily Pan Evaporation Modeling in a Hot and Dry Climate” by J. Piri, S. Amin, A. Moghaddamnia, A. Keshavarz, D. Han, and R. Remesan

    Article • Journal of Hydrologic Engineering, August 2010, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  165. Daily pan evaporation modeling using linear genetic programming technique

    Article • Irrigation Science, July 2010, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  166. A machine code-based genetic programming for suspended sediment concentration estimation

    Article • Advances in Engineering Software, July 2010, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  167. Application of two different neural network techniques to lateral outflow over rectangular side weirs located on a straight channel

    Article • Advances in Engineering Software, June 2010, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  168. Reply to comment on ‘Kişi Ö. 2009. Daily pan evaporation modelling using multi-layer perceptrons and radial basis neural networks. Hydrological Processes 23(2): 213-223’

    Article • Hydrological Processes, May 2010, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  169. Discussion of “Comparative Study of ANNs versus Parametric Methods in Rainfall Frequency Analysis” by Jianxun He and Caterina Valeo

    Article • Journal of Hydrologic Engineering, April 2010, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  170. Fuzzy Genetic Approach for Modeling Reference Evapotranspiration

    Article • Journal of Irrigation and Drainage Engineering, March 2010, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  171. Predicting discharge capacity of triangular labyrinth side weir located on a straight channel by using an adaptive neuro-fuzzy technique

    Article • Advances in Engineering Software, February 2010, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  172. An artificial neural network model for the prediction of critical submergence for intake in a stratified fluid medium

    Article • Civil Engineering and Environmental Systems, December 2009, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  173. Comparison of two different data-driven techniques in modeling lake level fluctuations in Turkey

    Article • Journal of Hydrology, November 2009, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  174. Evapotranspiration modelling using support vector machines / Modélisation de l'évapotranspiration à l'aide de ‘support vector machines’

    Article • Hydrological Sciences Journal, October 2009, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  175. Bridge afflux analysis through arched bridge constrictions using artificial intelligence methods

    Article • Civil Engineering and Environmental Systems, September 2009, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  176. Neural Networks and Wavelet Conjunction Model for Intermittent Streamflow Forecasting

    Article • Journal of Hydrologic Engineering, August 2009, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  177. Daily suspended sediment estimation using neuro-wavelet models

    Article • International Journal of Earth Sciences, June 2009, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  178. Comments on

    Article • Advances in Water Resources, June 2009, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  179. Evolutionary fuzzy models for river suspended sediment concentration estimation

    Article • Journal of Hydrology, June 2009, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  180. Adaptive neuro-fuzzy computing technique for suspended sediment estimation

    Article • Advances in Engineering Software, June 2009, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  181. Modeling monthly evaporation using two different neural computing techniques

    Article • Irrigation Science, May 2009, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  182. Modeling River Stage-Discharge Relationships Using Different Neural Network Computing Techniques

    Article • CLEAN - Soil Air Water, February 2009, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  183. Comment on ‘Nourani V, Mogaddam AA, Nadiri AO. 2008. An ANN-based model for spatiotemporal groundwater level forecasting.Hydrological Processes22: 5054-5066’

    Article • Hydrological Processes, January 2009, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  184. Modelling daily suspended sediment of rivers in Turkey using several data-driven techniques / Modélisation de la charge journalière en matières en suspension dans des rivières turques à l'aide de plusieurs techniques empiriques

    Article • Hydrological Sciences Journal, December 2008, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  185. Constructing neural network sediment estimation models using a data-driven algorithm

    Article • Mathematics and Computers in Simulation, October 2008, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  186. Reply to comment on ‘Kisi O. 2007. Evapotranspiration modelling from climatic data using a neural computing technique.Hydrological Processes21:1925–1934’

    Article • Hydrological Processes, July 2008, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  187. The potential of different ANN techniques in evapotranspiration modelling

    Article • Hydrological Processes, July 2008, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  188. Initial assessment of bridge backwater using an artificial neural network approach

    Article • Canadian Journal of Civil Engineering, May 2008, Canadian Science Publishing

    Professor Ozgur Kisi, Dr Ozgur Kisi

  189. A genetic programming approach to suspended sediment modelling

    Article • Journal of Hydrology, April 2008, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  190. Predicting the compressive strength of steel fiber added lightweight concrete using neural network

    Article • Computational Materials Science, April 2008, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  191. River flow forecasting and estimation using different artificial neural network techniques

    Article • Hydrology Research, February 2008, IWA Publishing

    Professor Ozgur Kisi, Dr Ozgur Kisi

  192. Streamflow Forecasting Using Different Artificial Neural Network Algorithms

    Article • Journal of Hydrologic Engineering, September 2007, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  193. Comparison of different ANN techniques in river flow prediction

    Article • Civil Engineering and Environmental Systems, September 2007, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  194. Wavelet and neuro-fuzzy conjunction model for precipitation forecasting

    Article • Journal of Hydrology, August 2007, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  195. Adaptive Neurofuzzy Computing Technique for Evapotranspiration Estimation

    Article • Journal of Irrigation and Drainage Engineering, August 2007, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  196. Estimation of total sediment load concentration obtained by experimental study using artificial neural networks

    Article • Environmental Fluid Mechanics, July 2007, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  197. Prediction of Hydropower Energy Using ANN for the Feasibility of Hydropower Plant Installation to an Existing Irrigation Dam

    Article • Water Resources Management, June 2007, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  198. Türkçede Üçüncü Kişi Buyrum Yapıları

    Article • Ankara Üniversitesi Dil ve Tarih-Coğrafya Fakültesi Dergisi, January 2007, Ankara University

    Professor Ozgur Kisi, Dr Ozgur Kisi

  199. Evapotranspiration modelling from climatic data using a neural computing technique

    Article • Hydrological Processes, January 2007, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  200. Suspended sediment prediction using two different feed-forward back-propagation algorithms

    Article • Canadian Journal of Civil Engineering, January 2007, Canadian Science Publishing

    Professor Ozgur Kisi, Dr Ozgur Kisi

  201. Generalized regression neural networks for evapotranspiration modelling

    Article • Hydrological Sciences Journal, December 2006, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  202. Daily pan evaporation modelling using a neuro-fuzzy computing technique

    Article • Journal of Hydrology, October 2006, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  203. Evapotranspiration estimation using feed-forward neural networks

    Article • Hydrology Research, June 2006, IWA Publishing

    Professor Ozgur Kisi, Dr Ozgur Kisi

  204. Methods to improve the neural network performance in suspended sediment estimation

    Article • Journal of Hydrology, February 2006, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  205. River suspended sediment modelling using a fuzzy logic approach

    Article • Hydrological Processes, January 2006, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  206. Discussion of ȁFuzzy logic model approaches to daily pan evaporation estimation in western Turkeyȁ

    Article • Hydrological Sciences Journal, August 2005, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  207. Discussion of “Forecasting of Reference Evapotranspiration by Artificial Neural Networks” by Slavisa Trajkovic, Branimir Todorovic, and Miomir Stankovic

    Article • Journal of Irrigation and Drainage Engineering, August 2005, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  208. Suspended sediment estimation using neuro-fuzzy and neural network approaches/Estimation des matières en suspension par des approches neurofloues et à base de réseau de neurones

    Article • Hydrological Sciences Journal, August 2005, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  209. Discussion of “Estimating Actual Evapotranspiration from Limited Climatic Data Using Neural Computing Technique” by K. P. Sudheer, A. K. Gosain, and K. S. Ramasastri

    Article • Journal of Irrigation and Drainage Engineering, April 2005, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  210. Multi-layer perceptrons with Levenberg-Marquardt training algorithm for suspended sediment concentration prediction and estimation / Prévision et estimation de la concentration en matières en suspension avec des perceptrons multi-couches et l’algorithm...

    Article • Hydrological Sciences Journal, December 2004, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  211. Daily suspended sediment modelling using a fuzzy differential evolution approach / Modélisation journalière des matières en suspension par une approche d’évolution différentielle floue

    Article • Hydrological Sciences Journal, February 2004, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  212. River Flow Modeling Using Artificial Neural Networks

    Article • Journal of Hydrologic Engineering, January 2004, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  213. Ten-Stage Discrete Flood Routing for Dams Having Gated Spillways

    Article • Journal of Hydrologic Engineering, January 2001, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi