Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer
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DOI: 10.1007/s10845-021-01793-0
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- Werner Zellinger & Thomas Grubinger & Michael Zwick & Edwin Lughofer & Holger Schöner & Thomas Natschläger & Susanne Saminger-Platz, 2020. "Multi-source transfer learning of time series in cyclical manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 31(3), pages 777-787, March.
- Xiang Li & Xiaodong Jia & Qibo Yang & Jay Lee, 2020. "Quality analysis in metal additive manufacturing with deep learning," Journal of Intelligent Manufacturing, Springer, vol. 31(8), pages 2003-2017, December.
- Michael D. T. McDonnell & Daniel Arnaldo & Etienne Pelletier & James A. Grant-Jacob & Matthew Praeger & Dimitris Karnakis & Robert W. Eason & Ben Mills, 2021. "Machine learning for multi-dimensional optimisation and predictive visualisation of laser machining," Journal of Intelligent Manufacturing, Springer, vol. 32(5), pages 1471-1483, June.
- Chia-Yu Hsu & Wei-Chen Liu, 2021. "Multiple time-series convolutional neural network for fault detection and diagnosis and empirical study in semiconductor manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 32(3), pages 823-836, March.
- Huixin Tian & Daixu Ren & Kun Li & Zhen Zhao, 2021. "An adaptive update model based on improved Long Short Term Memory for online prediction of vibration signal," Journal of Intelligent Manufacturing, Springer, vol. 32(1), pages 37-49, January.
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Keywords
Continual learning; Deep learning; Artificial intelligence; Manufacturing; Predictive quality; Regression;All these keywords.
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