Modeling of daily pan evaporation in sub tropical climates using ANN, LS-SVR, Fuzzy Logic, and ANFIS
Four new machine learning techniques explored for pan evaporation estimation. The study area was the sub-tropical Karso watershed in India. Traditional Hargreaves and Samani, and StephensStewart method, were also explored. Fuzzy Logic and LS-SVR approaches were found to be the most accurate methods.
modeling evaporation ann ls-svr fuzzy logic anfis gamma test