A new stochastic neural network model and its application to grouping parts and tools in flexible manufacturing systems-Reference-Cited by-同舟云学术

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A new stochastic neural network model and its application to grouping parts and tools in flexible manufacturing systems

Published:1995-06 Issue:6 Volume:33 Page:1535-1548
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

ARIZONO I.¹,KATO M.²,YAMAMOTO A.³,OHTA H.¹

Affiliation:

1. a Department of Industrial Engineering , University of Osaka Prefecture , Sakai, Osaka, 593, Japan

2. b Toyo Engineering Corporation , Akanehama, Narashino, Chiba, 275, Japan

3. c Rakuwa-Kai Medical Corporation , Rakuwa-Kai Otowa Hospital, Otowa Chinji-Cho, Yamashina-Ku, Kyoto, 607, Japan

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207549508930227

Reference9 articles.

1. A Learning Algorithm for Boltzmann Machines*

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1. KIT BASED TOOL SELECTION FOR FLEXIBLE BATCH MANUFACTURE;Proceeding of Flexible Automation and Integrated Manufacturing 1998;2023

2. Artificial neural networks in business: Two decades of research;Applied Soft Computing;2016-01

3. Neuro-genetic impact on cell formation methods of Cellular Manufacturing System design: A quantitative review and analysis;Computers & Industrial Engineering;2013-01

4. Application of Soft-Computing Methods in Cellular Manufacturing;Computational Methods for Optimizing Manufacturing Technology;2012

5. Machine-Part Grouping in Flexible Manufacturing: Formalisation and the Use of Genetic Algorithms;IFAC Proceedings Volumes;2010

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