Prediction of Monthly Reference Evapotranspiration Using Artificial Neural Networks and Fuzzy Inference System
published by Aِl-Baath University
in 2017
in
and research's language is
العربية
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Abstract in English
Evapotranspiration is an important component of the
hydrologic cycle, and the accurate prediction of this parameter is
very important for many water resources applications. Thus, the
aim of this study is prediction of monthly reference
evapotranspiration using Artificial Neural Networks (ANNs) and
fuzzy inference system (FIS).
References used
AL-ABBODI, A. H. 2014. Evaporation Estimation Using Adaptive Neuro-Fuzzy Inference System and Linear Regression. Eng. &Tech. Journal, Vol.32, Part(A), No.10, 2465-2474
JADEJA, V, 2011. Artificial neural network estimation of Reference Evapotranspiration from pan evaporation in a semiarid environment. National Conference on Recent Trends in Engineering & Technology
KARIYAMA, I. D, 2014. Temperature-Based Feed-Forward Backpropagation Artificial Neurl Network For Estimation Reference Crop Evapotranspiration In The Upper West Region. International Journal of Scientific & Technology Research, Volume 3, Issue 8, 357-364