A transiently chaotic neural network approach to the design of cellular manufacturing
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Publication:4468874
DOI10.1080/00207540210122284zbMath1051.90513OpenAlexW1979723211MaRDI QIDQ4468874
Prem Vrat, M. Soleymanpour, R. Shankar
Publication date: 11 June 2004
Published in: International Journal of Production Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207540210122284
Production models (90B30) Neural networks for/in biological studies, artificial life and related topics (92B20)
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Cites Work
- A neural network system for shape-based classification and coding of rotational parts
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- Machine-part family formation with the adaptive resonance theory paradigm
- An objective-guided ortho-synapse Hopfield network approach to machine grouping problems
- A neural network-based cell formation algorithm in cellular manufacturing
- Some design issues in cellular manufacturing using the fuzzy programming approach
- Global searching ability of chaotic neural networks
- A neural network model as a globally coupled map and applications based on chaos
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