Prediction and optimization of runoff via ANFIS and GA

摘要: Abstract In planning of water resource projects, the estimation availability plays an important role. The first step in is computation runoff resulting from precipitation on river catchments. length measured a stream may be short period or long depending upon catchment characteristics. Keeping this mind present work focused two different model generation. phase study, rating curves are developed considering day level ( H t )) as input and Q output. second study prediction models 1 day lag  − 1)), 2 day  − 2))  − 1)) inputs ahead  + 1)) output model. Models used for Non-Linear Multiple Regression (NLMR) Adaptive Neuro-Fuzzy Inference System (ANFIS). Both were trained tested to predict performance models. Genetic Algorithm (GA) then coupled with NLMR obtain condition hydrological parameter which maximum.