Back-Propagation Neural Network Optimized by K-Fold Cross-Validation for Prediction of Torsional Strength of Reinforced Concrete Beam

Due to the limitation of sample size in predicting the torsional strength of Reinforced Concrete (RC) beams, this paper aims to discuss the feasibility of employing a novel machine learning approach with K-fold cross-validation in a small sample range, which combines the advantages of a Genetic Algo...

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Detalles Bibliográficos
Autores principales: Lyu, Zhaoqiu, Yu, Yang, Samali, Bijan, Rashidi, Maria, Mohammadi, Masoud, Nguyen, Thuc N., Nguyen, Andy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879547/
https://www.ncbi.nlm.nih.gov/pubmed/35208015
http://dx.doi.org/10.3390/ma15041477

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879547/
https://www.ncbi.nlm.nih.gov/pubmed/35208015
http://dx.doi.org/10.3390/ma15041477

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