期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：68
期号：3
出版社：Journal of Theoretical and Applied
摘要：Adaptive Neuro Fuzzy Inference System (ANFIS) approach is employed in this present study to observe its applicability on Prediction and Forecasting of monthly Groundwater level Fluctuation in the study area (Amaravathi River Minor Basin). Study area encompasses of heavy abstraction of groundwater due to domestic, industrial and irrigation prospects which will leads in abrupt depletion of groundwater and crises on groundwater utility in future. The specific objectives are developed in the present study is to study the condition of groundwater pattern in the study area though it concern with many practical constraints. ANFI 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 identify the best ANFIS model which will replicate the exact behavior of groundwater system through tuning of parameters by fuzzy subset relationship and satisfying five Statistical measures (RMSE, R2, CE, COC and MBE) during training and testing processes for the duration of 2005-13. Second part of the study is to forecast the groundwater fluctuation for next one year (2014) from the identified ANFIS model.
