Prediction of the compressive strength of high-performance self-compacting concrete by an ultrasonic-rebound method based on a GA-BP neural network

To address the problem of low accuracy and poor robustness of in situ testing of the compressive strength of high-performance self-compacting concrete (SCC), a genetic algorithm (GA)-optimized backpropagation neural network (BPNN) model was established to predict the compressive strength of SCC. Exp...

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Detalles Bibliográficos
Autores principales: Du, Guoqiang, Bu, Liangtao, Hou, Qi, Zhou, Jing, Lu, Beixin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8092652/
https://www.ncbi.nlm.nih.gov/pubmed/33939736
http://dx.doi.org/10.1371/journal.pone.0250795

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8092652/
https://www.ncbi.nlm.nih.gov/pubmed/33939736
http://dx.doi.org/10.1371/journal.pone.0250795

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