Conceptual design of an intelligent ultrasonic crimping process using machine learning algorithms
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Jörg Franke | Andreas Mayr | Michael Weigelt | Paul Heisler | Johannes Seefried | J. Franke | A. Mayr | M. Weigelt | J. Seefried | Paul K. Heisler
[1] Peter J. Gawthrop,et al. Neural networks for control systems - A survey , 1992, Autom..
[2] C. S. Wu,et al. Neurofuzzy control of weld penetration in gas tungsten arc welding , 2003 .
[3] K. Rameshkumar,et al. Use of Machine Learning Algorithms for Weld Quality Monitoring using Acoustic Signature , 2015 .
[4] G. Karsai,et al. Artificial neural networks applied to arc welding process modeling and control , 1989, Conference Record of the IEEE Industry Applications Society Annual Meeting,.
[5] Sehun Rhee,et al. New technology for measuring dynamic resistance and estimating strength in resistance spot welding , 2000 .
[6] YuMing Zhang,et al. A tutorial on learning human welder's behavior: Sensing, modeling, and control , 2014 .
[7] Prasad K. Yarlagadda,et al. Optimal design of neural networks for control in robotic arc welding , 2004 .
[8] Patrick M. Pilarski,et al. Intelligent laser welding through representation, prediction, and control learning: An architecture with deep neural networks and reinforcement learning , 2016 .