Prediction Performance Comparison of Risk Management and Control Mode in Regional Sites Based on Decision Tree and Neural Network.

Zhu, Wenhui; He, Jun; Zhang, Hongzhen; Cheng, Liang; Yang, Xintong; Wang, Xiahui; Ji, Guohua

Zhu, Wenhui; He, Jun; Zhang, Hongzhen; Cheng, Liang; Yang, Xintong; Wang, Xiahui; Ji, Guohua.

Afiliação

Zhu W; Center for Soil Protection and Landscape Design, The Innovation Center of Zero-Waste Society, Chinese Academy of Environmental Planning, Beijing, China.
He J; Center for Soil Protection and Landscape Design, The Innovation Center of Zero-Waste Society, Chinese Academy of Environmental Planning, Beijing, China.
Zhang H; Center for Soil Protection and Landscape Design, The Innovation Center of Zero-Waste Society, Chinese Academy of Environmental Planning, Beijing, China.
Cheng L; Center for Soil Protection and Landscape Design, The Innovation Center of Zero-Waste Society, Chinese Academy of Environmental Planning, Beijing, China.
Yang X; Center for Soil Protection and Landscape Design, The Innovation Center of Zero-Waste Society, Chinese Academy of Environmental Planning, Beijing, China.
Wang X; Center for Soil Protection and Landscape Design, The Innovation Center of Zero-Waste Society, Chinese Academy of Environmental Planning, Beijing, China.
Ji G; Center for Soil Protection and Landscape Design, The Innovation Center of Zero-Waste Society, Chinese Academy of Environmental Planning, Beijing, China.

Front Public Health ; 10: 892423, 2022.

Article em En | MEDLINE | ID: mdl-35692327

Assuntos

Algoritmos; Redes Neurais de Computação; Árvores de Decisões; Gestão de Riscos

Palavras-chave

artificial neural network (ANN); decision tree (DT); prediction performance; regional sites; risk management and control mode (RMCM)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Redes Neurais de Computação Tipo de estudo: Etiology_studies / Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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