“PREDICTION OF GROUND WATER QUALITY INDEX OF SURAT REGION USING ANFIS”
Research Student, Department of Civil Engineering, Dr. S. & S. S. Ghandhy Government Engineering College, Surat, 395001, India, India
ABSTRACT
Adaptive Neuro Fuzzy Inference System (ANFIS) approach is employed in the present study to observe its applicability on Prediction and Forecasting of Groundwater Quality Index Prediction in Surat Region. As per classification based on Groundwater Quality Index, Groundwater Quality of Surat Region lies between poor water to very poor water during pre-monsoon season, while Groundwater Quality lies between good Water to Poor Water. ANFIS system is one of the developing powerful tools to predict such heavy constrained problem with time series analysis by hybrid technique. First Part of the study is to find the GWQI of the Surat Region. Second part of the study is to study is to identify the Best ANFIS model which satisfying two Statistical measures (RMSE, and R2) during training and validation processes for the duration of 2013 to 2016 of Surat Region.
