A novel RF-CEEMD-LSTM model for predicting water pollution
Accurate water pollution prediction is an important basis for water environment prevention and control. The uncertainty of input variables and the nonstationary and nonlinear characteristics of water pollution series hinder the accuracy and reliability of water pollution prediction. This study propo...
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Published in | Scientific reports Vol. 13; no. 1; pp. 20901 - 14 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
28.11.2023
Nature Publishing Group Nature Portfolio |
Subjects | |
Online Access | Get full text |
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