First Steps Towards an Intelligent Laser Welding Architecture Using Deep Neural Networks and Reinforcement Learning-Reference-Cited by-同舟云学术

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First Steps Towards an Intelligent Laser Welding Architecture Using Deep Neural Networks and Reinforcement Learning

Published:2014 Issue: Volume:15 Page:474-483
ISSN:2212-0173
Container-title:Procedia Technology
language:en
Short-container-title:Procedia Technology

Author:

Günther Johannes,Pilarski Patrick M.,Helfrich Gerhard,Shen Hao,Diepold Klaus

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference28 articles.

1. Sputter tracking for the automatic monitoring of industrial laser-welding processes;Jaeger;IEEE Transactions on Industrial Electronics,2008

2. A methodological approach to multisensor classification for innovative laser material processing units;Alippi;IMTC,2001

3. A cognitive system for autonomous robotic welding;Schroth;IEEE/RSJ IROS,2009

4. The limits of mass customization;Zipkin;Harvard Business Review,1997

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