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Estimation of daily dew point temperature using genetic programming and neural networks approaches

✍ Scribed by Shiri, Jalal; Kim, Sungwon; Kisi, Ozgur


Book ID
125526947
Publisher
IWA Publishing
Year
2013
Tongue
English
Weight
800 KB
Volume
45
Category
Article
ISSN
0029-1277

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## Abstract The complexity of the evapotranspiration process and its variability in time and space have imposed some limitations on previously developed evapotranspiration models. In this study, two data‐driven models: genetic programming (GP) and artificial neural networks (ANNs), and statistical