Modeling of daily pan evaporation in sub tropical climates using ANN, LS-SVR, Fuzzy Logic, and ANFIS

作者：

Highlights：

• 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 Stephens–Stewart method, were also explored.

• Fuzzy Logic and LS-SVR approaches were found to be the most accurate methods.

摘要

•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 Stephens–Stewart method, were also explored.•Fuzzy Logic and LS-SVR approaches were found to be the most accurate methods.

论文关键词：Evaporation,Modeling,Gamma Test,ANN,LS-SVR,Fuzzy Logic,ANFIS

论文评审过程：Available online 6 March 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.02.047