Prediction of Water Resistance of Magnesium Oxychloride Cement Concrete Based upon Hybrid-BP Neural Network

To obtain the magnesium oxychloride cement concrete (MOCC) ratio with excellent water resistance quickly and accurately, a BP neural network (BPNN) model with a topology structure of 4-10-2 was designed, and the PSO (particle swarm optimization), GWO (gray wolf optimization), and WOA (whale optimiza...

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Detalles Bibliográficos
Autores principales: Wang, Penghui, Qiao, Hongxia, Xue, Cuizhen, Feng, Qiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10179823/
https://www.ncbi.nlm.nih.gov/pubmed/37176254
http://dx.doi.org/10.3390/ma16093371

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10179823/
https://www.ncbi.nlm.nih.gov/pubmed/37176254
http://dx.doi.org/10.3390/ma16093371

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