BIP! Finder - Towards a comprehensive assessment of statistical versus soft computing models in hydrology: Application to monthly pan evaporation prediction

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2021 • Towards a comprehensive assessment of statistical versus soft computing models in hydrology: Application to monthly pan evaporation prediction

Authors: Mohammad Zounemat-Kermani, Behrooz Keshtegar, Ozgur Kisi, Miklas Scholz

Abstract: 0.95. Considering periodicity as an input parameter, the MLP-LM provided better results than the other methods among the soft computing models (MAE = 0.492 mm and d = 0.981). However, the improved kriging method surpassed all the other models based on the statistical measures (MAE = 0.471 mm and d = 0.983). Finally, the outcomes of the Mann–Whitney test indicated that the applied soft computational models do not have significant superiority over the statistical ones (p-value >

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Towards a Comprehensive Assessment of Statistical versus Soft Computing Models in Hydrolog (...)

Mohammad Zounemat-Kermani, Behrooz Keshtegar, Ozgur Kisi, Miklas Scholz

Water · 2021

Algorithm | Statistics |

Open Access

Article