Modeling monthly evaporation using two different neural computing techniques

@article{Kisi2009ModelingME,
  title={Modeling monthly evaporation using two different neural computing techniques},
  author={{\"O}zg{\"u}r Kisi},
  journal={Irrigation Science},
  year={2009},
  volume={27},
  pages={417-430}
}
Two different artificial neural network (ANN) techniques, multi-layer perceptrons (MLP) and radial basis neural networks (RBNN), are employed in the estimation of monthly pan evaporation. The monthly climatic data, air temperature, solar radiation, wind speed, pressure and humidity, of three stations operated by the U.S. Environmental Protection Agency in California are used as inputs to the ANN models to estimate monthly evaporation. In the first part of the study, the accuracy of MLP and RBNN… CONTINUE READING
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