Water Quality Prediction Based on Machine Learning and Comprehensive Weighting Methods.

Wang, Xianhe; Li, Ying; Qiao, Qian; Tavares, Adriano; Liang, Yanchun

Wang, Xianhe; Li, Ying; Qiao, Qian; Tavares, Adriano; Liang, Yanchun.

Afiliação

Wang X; School of Applied Chemistry and Materials, Zhuhai College of Science and Technology, Zhuhai 519041, China.
Li Y; Department of Industrial Electronics, School of Engineering, University of Minho, 4704-553 Braga, Portugal.
Qiao Q; School of Applied Chemistry and Materials, Zhuhai College of Science and Technology, Zhuhai 519041, China.
Tavares A; Department of Industrial Electronics, School of Engineering, University of Minho, 4704-553 Braga, Portugal.
Liang Y; School of Applied Chemistry and Materials, Zhuhai College of Science and Technology, Zhuhai 519041, China.

Entropy (Basel) ; 25(8)2023 Aug 09.

Article em En | MEDLINE | ID: mdl-37628216

Palavras-chave

LSTM; comprehensive weight-based approach; feature selection; machine learning; water quality prediction

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Entropy (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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