Numerical and artificial intelligence models for predicting the water advance in border irrigation
The water advance time (Ta) is needed for designing and evaluating surface irrigation systems. This study employed artificial neural networks (ANNs) and gene expression programming (GEP) techniques for estimating the water advance time in the border irrigation system as a function of inflow rate per...
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Veröffentlicht in: | Environment, development and sustainability development and sustainability, 2022, Vol.24 (1), p.558-575 |
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