Development of a Neuro-Fuzzy System for Selection of Tree Species for Afforestation Purpose

Mrinmoy Majumder, Tilottama Chackraborty, Santanu Datta, Rajesh Chakraborty, Rabindra Nath Barman
  • December 2012, Springer Science + Business Media
  • DOI: 10.1007/978-94-007-5152-1_20

Selection of Species for Afforestation by Neurofuzzy systems

What is it about?

Artificial Neural Networks were cascaded with the output from Fuzzy Logic to select tree species for afforestation projects.This study provides an objective method for selection of species with respect to the location of afforestation.

Why is it important?

The novel application of fuzzy logic cascaded with the Artificial neural Network helped to select tree species based on location of afforestation which is not attempted earlier.

Perspectives

Dr Mrinmoy Majumder (Author)
National Institute of Technology Agartala

Species selection for afforestation by a new soft computation tools developed from artificial Neural Network and Fuzzy Logic algorithm.

The following have contributed to this page: Dr Mrinmoy Majumder