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Deep Learning in Sheet Metal Bending With a Novel Theory-Guided Deep Neural Network

Shiming Liu Yifan Xia Zhusheng Shi Hui Yu Zhiqiang Li Jianguo Lin

自动化学报(英文版)2021,Vol.8Issue(3):565-581,17.
自动化学报(英文版)2021,Vol.8Issue(3):565-581,17.DOI:10.1109/JAS.2021.1003871

Deep Learning in Sheet Metal Bending With a Novel Theory-Guided Deep Neural Network

Deep Learning in Sheet Metal Bending With a Novel Theory-Guided Deep Neural Network

Shiming Liu 1Yifan Xia 2Zhusheng Shi 1Hui Yu 2Zhiqiang Li 3Jianguo Lin1

作者信息

  • 1. Department of Mechanical Engineering, Imperial College London, London, SW72AZ, UK
  • 2. School of Creative Technologies, University of Portsmouth, Portsmouth, PO12DJ, UK
  • 3. Manufacturing Technology Institute, AVIC, Beijing 100024, China
  • 折叠

摘要

关键词

Data-driven deep learning/deep learning/deep neural network (DNN)/intelligent manufacturing/machine learning/sheet metal forming/springback/theory-guided deep learning/theory-guided regularization

Key words

Data-driven deep learning/deep learning/deep neural network (DNN)/intelligent manufacturing/machine learning/sheet metal forming/springback/theory-guided deep learning/theory-guided regularization

引用本文复制引用

Shiming Liu,Yifan Xia,Zhusheng Shi,Hui Yu,Zhiqiang Li,Jianguo Lin..Deep Learning in Sheet Metal Bending With a Novel Theory-Guided Deep Neural Network[J].自动化学报(英文版),2021,8(3):565-581,17.

基金项目

This work was supported by Aviation Industry Corporation of China (AVIC) Manufacturing Technology Institute (MTI) and in part by China Scholarship Council (CSC) (201908060236). (AVIC)

自动化学报(英文版)

OACSCDCSTPCDEI

2329-9266

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