Compressive Strength Prediction of PVA Fiber-Reinforced Cementitious Composites Containing Nano-SiO(2) Using BP Neural Network

In this study, a method to optimize the mixing proportion of polyvinyl alcohol (PVA) fiber-reinforced cementitious composites and improve its compressive strength based on the Levenberg-Marquardt backpropagation (BP) neural network algorithm and genetic algorithm is proposed by adopting a three-laye...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Ting-Yu, Zhang, Peng, Wang, Juan, Ling, Yi-Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7040740/
https://www.ncbi.nlm.nih.gov/pubmed/31978993
http://dx.doi.org/10.3390/ma13030521

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7040740/
https://www.ncbi.nlm.nih.gov/pubmed/31978993
http://dx.doi.org/10.3390/ma13030521

Ejemplares similares