Improved Deep Learning Predictions for Chlorophyll Fluorescence Based on Decomposition Algorithms: The Importance of Data Preprocessing

Improved Deep Learning Predictions for Chlorophyll Fluorescence Based on Decomposition Algorithms: The Importance of Data Preprocessing

Harmful algal blooms (HABs) have been deteriorating global water bodies, and the accurate prediction of algal dynamics using the modelling method is a challenging research area. High-frequency monitoring and deep learning technology have opened up new horizons for HAB forecasting. However, the non-s...

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Bibliographic Details
Main Authors: Lan Wang, Mingjiang Xie, Min Pan, Feng He, Bing Yang, Zhigang Gong, Xuke Wu, Mingsheng Shang, Kun Shan
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Water
Subjects:
chlorophyll fluorescence
deep learning
online monitoring
time-series decomposition
Dianchi Lake
Online Access:https://www.mdpi.com/2073-4441/15/23/4104

Internet

https://www.mdpi.com/2073-4441/15/23/4104

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