Deep Learning in Sheet Metal Bending With a Novel Theory-Guided Deep Neural NetworkOACSCD
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
Department of Mechanical Engineering, Imperial College London, London, SW72AZ, UKSchool of Creative Technologies, University of Portsmouth, Portsmouth, PO12DJ, UKDepartment of Mechanical Engineering, Imperial College London, London, SW72AZ, UKSchool of Creative Technologies, University of Portsmouth, Portsmouth, PO12DJ, UKManufacturing Technology Institute, AVIC, Beijing 100024, ChinaDepartment of Mechanical Engineering, Imperial College London, London, SW72AZ, UK
Data-driven deep learningdeep learningdeep neural network (DNN)intelligent manufacturingmachine learningsheet metal formingspringbacktheory-guided deep learningtheory-guided regularization
Data-driven deep learningdeep learningdeep neural network (DNN)intelligent manufacturingmachine learningsheet metal formingspringbacktheory-guided deep learningtheory-guided regularization
《自动化学报(英文版)》 2021 (3)
565-581,17
This work was supported by Aviation Industry Corporation of China (AVIC) Manufacturing Technology Institute (MTI) and in part by China Scholarship Council (CSC) (201908060236).
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