A feed-forwarded neural network-based variational Bayesian learning approach for forensic analysis of traffic accident

• Main Authors: Xie, Yuxi, Wu, C. T., Li, Boyuan, Hu, Xuan, Li, Shaofan
• 其他作者: School of Mechanical and Aerospace Engineering
• 格式: Article
• 語言: English
• 出版: 2023
• 主題: Engineering::Mechanical engineering; Machine Learning; Vehicle Collision
• 在線閱讀: https://hdl.handle.net/10356/164161

In this work, a variational Bayesian learning-based computation algorithm is developed to “inversely” identify the deformation field of a crashed car and hence their residual strain fields based on its final damaged structural configuration (wreckage), which is important in three-dimensional traffic...