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

Conventional neural networks tend to fall into local extremum on large datasets, while the research on the strength of rubber concrete using intelligent algorithms to optimize artificial neural networks is limited. Therefore, to improve the prediction accuracy of rubber concrete strength, an artific...

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Detalles Bibliográficos
Autores principales: Huang, Xiao-Yu, Wu, Ke-Yang, Wang, Shuai, Lu, Tong, Lu, Ying-Fa, Deng, Wei-Chao, Li, Hou-Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9182238/
https://www.ncbi.nlm.nih.gov/pubmed/35683231
http://dx.doi.org/10.3390/ma15113934

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9182238/
https://www.ncbi.nlm.nih.gov/pubmed/35683231
http://dx.doi.org/10.3390/ma15113934

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