Application of an improved LSTM model based on FECA and CEEMDAN VMD decomposition in water quality prediction

Abstract To address the limitations of existing water quality prediction models in handling non-stationary data and capturing multi-scale features, this study proposes a hybrid model integrating Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN), Variational Mode Decomposit...

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Váldodahkkit:	Jie Long, Chong Lu, Yiming Lei, Zhong Yuan Chen, Yihan Wang
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Nature Portfolio 2025-04-01
Ráidu:	Scientific Reports
Fáttát:	Water quality monitoring CEEMDAN VMD LSTM FECA Hybrid model
Liŋkkat:	https://doi.org/10.1038/s41598-025-96941-4
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