Deep learning algorithms and their fuzzy extensions for streamflow prediction in climate change framework
The present study analyzes the capability of convolutional neural network (CNN), long short-term memory (LSTM), CNN-LSTM, fuzzy CNN, fuzzy LSTM, and fuzzy CNN-LSTM to mimic streamflow for Lower Godavari Basin, India. Kling–Gupta efficiency (KGE) was used to evaluate these algorithms. Fuzzy-based dee...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IWA Publishing
2024-02-01
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| coleção: | Journal of Water and Climate Change |
| Assuntos: | |
| Acesso em linha: | http://jwcc.iwaponline.com/content/15/2/832 |
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