Compressive Strength Prediction of Rubber Concrete Based on Artificial Neural Network Model with Hybrid Particle Swarm Optimization Algorithm.

Huang, Xiao-Yu; Wu, Ke-Yang; Wang, Shuai; Lu, Tong; Lu, Ying-Fa; Deng, Wei-Chao; Li, Hou-Min

Huang, Xiao-Yu; Wu, Ke-Yang; Wang, Shuai; Lu, Tong; Lu, Ying-Fa; Deng, Wei-Chao; Li, Hou-Min.

Afiliação

Huang XY; School of Civil Engineering, Architecture, and Environment, Hubei University of Technology, Wuhan 430068, China.
Wu KY; Wuhan Construction Engineering Company Limited, Wuhan 430056, China.
Wang S; Wuhan Construction Engineering Company Limited, Wuhan 430056, China.
Lu T; Wuhan Construction Engineering Company Limited, Wuhan 430056, China.
Lu YF; School of Civil Engineering, Architecture, and Environment, Hubei University of Technology, Wuhan 430068, China.
Deng WC; School of Civil Engineering, Architecture, and Environment, Hubei University of Technology, Wuhan 430068, China.
Li HM; School of Civil Engineering, Architecture, and Environment, Hubei University of Technology, Wuhan 430068, China.

Materials (Basel) ; 15(11)2022 May 31.

Article em En | MEDLINE | ID: mdl-35683231

Palavras-chave

ANN; algorithm; compressive strength; concrete; prediction

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Materials (Basel) Ano de publicação: 2022 Tipo de documento: Article

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