Deep Learning in Sheet Metal Bending With a Novel Theory-Guided Deep Neural Network-Reference-Cited by-同舟云学术

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

Published:2021-03 Issue:3 Volume:8 Page:565-581
ISSN:2329-9266
Container-title:IEEE/CAA Journal of Automatica Sinica
language:
Short-container-title:IEEE/CAA J. Autom. Sinica

Author:

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

Funder

China Scholarship Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/6570654/9346068/09346099.pdf?arnumber=9346099

Cited by 48 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning applications in sheet metal constitutive Modelling: A review;International Journal of Solids and Structures;2024-10

2. Theory-guided neural network for studying the ground state of 2D spin-orbit coupled Bose–Einstein condensates;Results in Physics;2024-09

3. Deep alloys: Metal materials empowered by deep learning;Materials Science in Semiconductor Processing;2024-08

4. A physically-informed machine learning model for freeform bending;Journal of Intelligent Manufacturing;2024-07-16

5. Novel approach for data-driven modelling of multi-stage straightening and bending processes;Materials Research Proceedings;2024-05-15

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