Comparison between Multiple Regression Analysis, Polynomial Regression Analysis, and an Artificial Neural Network for Tensile Strength Prediction of BFRP and GFRP

In this study, multiple regression analysis (MRA) and polynomial regression analysis (PRA), which are traditional statistical methods, were applied to analyze factors affecting the tensile strength of basalt and glass fiber-reinforced polymers (FRPs) exposed to alkaline environments and predict the...

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Detalles Bibliográficos
Autores principales: Kim, Younghwan, Oh, Hongseob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8432702/
https://www.ncbi.nlm.nih.gov/pubmed/34500948
http://dx.doi.org/10.3390/ma14174861

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8432702/
https://www.ncbi.nlm.nih.gov/pubmed/34500948
http://dx.doi.org/10.3390/ma14174861

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