Research Paper | Civil Engineering | India | Volume 4 Issue 9, September 2015
Adaptive Neuro Fuzzy Inference System (ANFIS) for Prediction of Groundwater Quality Index in Matar Taluka and Nadiad Taluka
Nikunj Ashiyani | Dr. T. M. V. Suryanarayana
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 Matar Taluka and Nadiad Taluka. As per classification based on Groundwater Quality Index, Groundwater Quality of Matar Taluka lies between good water to very poor water, while Groundwater Quality of Nadiad Taluka 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 Matar Taluka and Nadiad Taluka. 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 1997 to 2006 of Matar Taluka and Nadiad Taluka.
Keywords: Groundwater Quality Index, Matar Taluka, Nadiad Taluka, ANFIS
Edition: Volume 4 Issue 9, September 2015,
Pages: 123 - 127
How to Cite this Article?
Nikunj Ashiyani, Dr. T. M. V. Suryanarayana, "Adaptive Neuro Fuzzy Inference System (ANFIS) for Prediction of Groundwater Quality Index in Matar Taluka and Nadiad Taluka", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SUB157892, Volume 4 Issue 9, September 2015, 123 - 127, #ijsrnet
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