New methods based on back propagation (BP) and radial basis function (RBF) artificial neural networks (ANNs) for predicting the occurrence of haloketones in tap water.

Deng, Ying; Zhou, Xiaoling; Shen, Jiao; Xiao, Ge; Hong, Huachang; Lin, Hongjun; Wu, Fuyong; Liao, Bao-Qiang

Deng, Ying; Zhou, Xiaoling; Shen, Jiao; Xiao, Ge; Hong, Huachang; Lin, Hongjun; Wu, Fuyong; Liao, Bao-Qiang.

Afiliación

Deng Y; College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China.
Zhou X; College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China.
Shen J; College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China.
Xiao G; College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China.
Hong H; College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China. Electronic address: huachang2002@163.com.
Lin H; College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China. Electronic address: hjlin@zjnu.cn.
Wu F; College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, PR China.
Liao BQ; Department of Chemical Engineering, Lakehead University, 955 Oliver Road, Thunder Bay, Ontario P7B 5E1, Canada.

Sci Total Environ ; 772: 145534, 2021 Jun 10.

Article en En | MEDLINE | ID: mdl-33571763

Asunto(s)

Redes Neurales de la Computación; Agua; Desinfección

Palabras clave

Back propagation artificial neural network; Halogenated ketones; Multiple linear regression; Radial basis function artificial neural network; Tap water

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Agua / Redes Neurales de la Computación Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Total Environ Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos

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