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