Machine Learning for Composite Material Analysis and Optimization

Download or read book Machine Learning for Composite Material Analysis and Optimization written by Haotian Feng and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: My PhD research aims to develop Machine Learning methods for the analysis and optimization of composite materials. Specifically, I focus on two key areas: composite material property prediction and composite material optimization. To enhance the accuracy of Machine Learning models in composite material prediction, I explore the incorporation of practical knowledge into the Machine Learning framework, which can be achieved through various approaches such as input layer, Neural Network, or loss function. My research demonstrates that incorporating existing knowledge can improve the prediction accuracy of Machine Learning models, which can be applied to both data-based and function-based machine learning problems. In addition to prediction, I also investigate optimization strategies for discovering optimal composite material designs using Machine Learning. These findings highlight the great potential of Machine Learning in composite material analysis and offer insights for future research in other applications such as medical image analysis, timeseries data analysis, and image segmentation and classification.