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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| Main Authors: | Feng Lin, Xu Li, Yang Su, Jun Yan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-08-01
|
| Series: | Discover Artificial Intelligence |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44163-025-00454-y |
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