A High-Generalizability Machine Learning Framework for Analyzing the Homogenized Properties of Short Fiber-Reinforced Polymer Composites

This study aims to develop a high-generalizability machine learning framework for predicting the homogenized mechanical properties of short fiber-reinforced polymer composites. The ensemble machine learning model (EML) employs a stacking algorithm using three base models of Extra Trees (ET), eXtreme...

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Detalles Bibliográficos
Autores principales: Zhao, Yunmei, Chen, Zhenyue, Jian, Xiaobin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575166/
https://www.ncbi.nlm.nih.gov/pubmed/37836011
http://dx.doi.org/10.3390/polym15193962

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575166/
https://www.ncbi.nlm.nih.gov/pubmed/37836011
http://dx.doi.org/10.3390/polym15193962

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