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An approach for flood flow prediction utilizing new hybrids of ANFIS with several optimization techniques: a case study

Using machine learning methods is efficient in predicting floods in areas where complete data is not available. Therefore, this study considers the Adaptive Neuro-Fuzzy Inference System (ANFIS) model combined with evolutionary algorithms, namely Harris Hawks Optimization (HHO) and Arithmetic Optimiz...

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書誌詳細
主要な著者: Negin Ahmadi, Sina Fard Moradinia
フォーマット: Artigo
言語:Inglês
出版事項: Elsevier 2024-05-01
シリーズ:Hydrology Research
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オンライン・アクセス:http://hr.iwaponline.com/content/55/5/560
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