FNN-BiLSTM-Attention-DA: A hybrid fuzzy neural network and BiLSTM with multi-sensor information fusion for water quality monitoring and warning

To conduct water quality anomaly alerts and set water quality alarm thresholds, a difference analysis (DA) model dependent on the FNN-BiLSTM-Attention mechanism is proposed in this study. The model efficiently lessens the impact of outliers and values that are missing in the statistical sample data...

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Bibliographic Details

Published in:	Alexandria Engineering Journal
Main Authors:	Dong Liu, Xiaolong Cheng
Format:	Article
Language:	English
Published:	Elsevier 2025-06-01
Subjects:	Water quality prediction and alarming Fuzzy neural networks BiLSTM Attention mechanisms DA models
Online Access:	http://www.sciencedirect.com/science/article/pii/S1110016825004788