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Abstract

This paper deals with an application of two Neuro-Fuzzy (ANFIS) systems for modeling the Evapotranspiration of a catchment located in Algeria. The two neuro-fuzzy systems are: (1) Fuzzy c-means clustering (FCM) based fuzzy inference system, named F-ANFIS, and (2) subtractive clustering based fuzzy inference system, named S-ANFIS. Various daily climatic data, that is, solar durationtion, air temperature, relative humidity and wind speed from Dar El Beida station, in Algiers, Algeria, are used as inputs to the FIS models so as to estimate ET0 obtained using the FAO-56 Penman–Monteith equation. Based on the comparisons, it is found that the S-ANFIS model yields plausible accuracy with fewer amounts of computations as compared to the G-ANFIS and MLP models in modeling the ET0 process.