What is it about?
Climate changes on Iraq characterized by increasing droughts and desertification cause many environmental problems especially in the last decade.In this study, a model was designed to forecast selected weather variables in Nineveh province which is located in northwestern of Iraq based on artificial neural networks
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Why is it important?
Nowadays, ANNs are used in various areas of real life according to their characteristic to solve many problems. Prediction or forecasting is a powerful ability that ANNs are characterized by. This ability is effective in serving humanity if it can meet the conditions of realism and accuracy through the obtained results. For the purpose of this study that highlighted the procedure of forecasting several weather variables throughout designing a model based on three deferent ANNs approaches
Perspectives
The developed model works efficiently and is fast, simple and easy to use with clear interface window. Reasonable prediction results with small prediction errors which were obtained; these results are supported by output forms in figures and tables. The new version of this model can be developed for all Iraqi central government institutions that deal with solving environmental and agricultural problems where the interface window can be redesigned for more options like selecting any target provinces or stations.
Dr. bashar muneer yahya
University of Mosul
Read the Original
This page is a summary of: Designing Weather Forecasting Model Using Computational Intelligence Tools, Applied Artificial Intelligence, November 2018, Taylor & Francis,
DOI: 10.1080/08839514.2018.1530858.
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