The water is an essential component of human life and survival of plants and animals. Estimation of evaporation is very important in arid and semi-arid region where the shortage of water occurs. It plays an important role for planning and management of water resources projects, necessary for scheduling of irrigation and in planning farm irrigation systems. It is a very important component of hydrologic cycle and water resources problems. In the present study the Artificial Neural Network (ANN) and Co-Active Neuro Fuzzy Inference System (CANFIS) models were developed for estimating evaporation. The data set consisted of four years of daily records from 2010 to 2013. The daily data consist of temperature, relative humidity, wind speed, sunshine hour and evaporation. The daily data of temperature, relative humidity, wind speed, sunshine hour were used as input and the evaporation was used as the output. | Estimation of evaporation in hilly area by using ann and canfis system based models
