An interpretable hierarchical neural network insight for long-term water quality forecast: A study in marine ranches of Eastern China
Accurate forecast of water quality parameters is important for water quality monitoring and water quality regulation. However, the increasingly complex marine water environment makes improving the accuracy of forecasting water quality parameters challenging. In this study, a new interpretable deep l...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-02-01
|
Series: | Ecological Indicators |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X22012444 |