A PCA–EEMD–CNN–Attention–GRU–Encoder–Decoder Accurate Prediction Model for Key Parameters of Seawater Quality in Zhanjiang Bay

A PCA–EEMD–CNN–Attention–GRU–Encoder–Decoder Accurate Prediction Model for Key Parameters of Seawater Quality in Zhanjiang Bay

In order to effectively solve the problem of low accuracy of seawater water quality prediction, an optimized water quality parameter prediction model is constructed in this paper. The model first screened the key factors of water quality data with the principal component analysis (PCA) algorithm, th...

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Bibliographic Details
Main Authors: Zaimi Xie, Zhenhua Li, Chunmei Mo, Ji Wang
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Materials
Subjects:
seawater
water quality prediction
attention
principal component analysis algorithm
ensemble empirical modal decomposition algorithm
sea area near Zhanjiang Bay
Online Access:https://www.mdpi.com/1996-1944/15/15/5200

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https://www.mdpi.com/1996-1944/15/15/5200

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