Water quality prediction model based on improved long short-term memory neural network and empirical mode decomposition

Water quality prediction model based on improved long short-term memory neural network and empirical mode decomposition

Abstract Water quality prediction and monitoring are crucial for environmental protection. This study proposes an improved long short-term memory neural network model for complex time-series water quality data. The model optimizes traditional long short-term memory structures to address the fluidity...

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Bibliographic Details
Main Authors: Feng Lin, Xu Li, Yang Su, Jun Yan
Format: Article
Language:English
Published: Springer 2025-08-01
Series:Discover Artificial Intelligence
Subjects:
Long short-term memory neural network
Time-series
Empirical mode decomposition technique
Water quality
Monitor
Online Access:https://doi.org/10.1007/s44163-025-00454-y
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https://doi.org/10.1007/s44163-025-00454-y

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