Predicting Water Quality With Nonstationarity: Event-Triggered Deep Fuzzy Neural Network

Water quality prediction is an indispensable task in water environment and source management. The existing predictive models are mainly designed by data-driven artificial neural networks (ANNs), especially deep learning models for large-scale water quality prediction. However, the state of water env...

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Veröffentlicht in:IEEE transactions on fuzzy systems 2024-05, Vol.32 (5), p.2690-2699
Hauptverfasser: Wang, Gongming, Chen, Hong, Han, Honggui, Bi, Jing, Qiao, Junfei, Tirkolaee, Erfan Babaee
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Sprache:eng
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