Predicting the Destruction of Composite Materials Using Machine Learning Methods-Reference-Cited by-同舟云学术

Predicting the Destruction of Composite Materials Using Machine Learning Methods

Published:2023 Issue: Volume:68 Page:191-196
ISSN:2352-1465
Container-title:Transportation Research Procedia
language:en
Short-container-title:Transportation Research Procedia

Author:

Shabley Alexandra,Nikolskaia Kseniia,Varkentin Vitalii,Peshkov Ruslan,Petrova Lina

Funder

Ministry of Education and Science of the Russian Federation

Publisher

Elsevier BV

Subject

General Medicine

Reference29 articles.

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2. Machine learning for composite materials;Chen;MRS Communications,2019

3. Artificial Neural Networks Framework for Detection of Defects in 3D-Printed Fiber Reinforcement Composites;Chen;JOM,2021

4. Digital modeling of the mechanics of mobile road pavements made of high-molecular low-pressure polyethylene for application in the Arctic;Demyanushko;Transportation Research Procedia,2021

5. Prediction of Mean Wave Overtopping Discharge Using Gradient Boosting Decision Trees;den Bieman;Water,2020

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3. Artificial Intelligence in Predicting Mechanical Properties of Composite Materials;Journal of Composites Science;2023-09-01

4. Prediction Improvement of Compressive Strength and Strain of Directionally Solidified Tial Alloy Based on Training Data Size Adjustment;2023