Journal article
Convolutional and generative adversarial neural networks in manufacturing
International journal of production research, Vol.58(5), pp.1594-1604
03/03/2020
DOI: 10.1080/00207543.2019.1662133
Abstract
Manufacturing is undergoing transformation driven by the developments in process technology, information technology, and data science. A future manufacturing enterprise will be highly digital. This will create opportunities for machine learning algorithms to generate predictive models across the enterprise in the spirit of the digital twin concept. Convolutional and generative adversarial neural networks have received some attention of the manufacturing research community. Representative research and applications of the two machine learning concepts in manufacturing are presented. Advantages and limitations of each neural network are discussed. The paper might be helpful in identifying research gaps, inspire machine learning research in new manufacturing domains, contribute to the development of successful neural network architectures, and getting deeper insights into the manufacturing data.
Details
- Title: Subtitle
- Convolutional and generative adversarial neural networks in manufacturing
- Creators
- Andrew Kusiak - University of Iowa
- Resource Type
- Journal article
- Publication Details
- International journal of production research, Vol.58(5), pp.1594-1604
- Publisher
- Taylor & Francis
- DOI
- 10.1080/00207543.2019.1662133
- ISSN
- 0020-7543
- eISSN
- 1366-588X
- Language
- English
- Date published
- 03/03/2020
- Academic Unit
- Industrial and Systems Engineering; Nursing
- Record Identifier
- 9984186964402771
Metrics
10 Record Views