URI | http://purl.tuc.gr/dl/dias/559754B0-E18B-466F-8062-F8CC97A85528 | - |
Identifier | https://doi.org/10.1016/S0166-3615(97)00107-3 | - |
Identifier | http://www.sciencedirect.com/science/article/pii/S0166361597001073 | - |
Language | en | - |
Extent | 6 pages | en |
Title | Neural networks in manufacturing cell design | en |
Creator | Christodoulou Manolis | en |
Creator | Χριστοδουλου Μανωλης | el |
Creator | Gaganis Vasileios | en |
Creator | Γαγανης Βασιλειος | el |
Publisher | Elsevier | en |
Content Summary | This paper presents a neural network approach in determining the appropriate manufacturing cell configuration that meets the required performance measures. Simulation experiments were conducted with many possible combinations of design changes to calculate cell performance measures, and thus generate training pairs for a neural network. Three different static neural network structures have been trained using the above data. Comparison of neural network efficiency and computational effort required is made through a case study, for every neural network architecture. | en |
Type of Item | Peer-Reviewed Journal Publication | en |
Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
License | http://creativecommons.org/licenses/by/4.0/ | en |
Date of Item | 2015-11-07 | - |
Date of Publication | 1999 | - |
Subject | Artificial neural networks | en |
Subject | Nets, Neural (Computer science) | en |
Subject | Networks, Neural (Computer science) | en |
Subject | Neural nets (Computer science) | en |
Subject | neural networks computer science | en |
Subject | artificial neural networks | en |
Subject | nets neural computer science | en |
Subject | networks neural computer science | en |
Subject | neural nets computer science | en |
Subject | Manufacturing engineering | en |
Subject | Process engineering | en |
Subject | production engineering | en |
Subject | manufacturing engineering | en |
Subject | process engineering | en |
Bibliographic Citation | M. Christodoulou and V. Gaganis, "Neural networks in manufacturing cell design", Computers in Industry, vol. 36, no. 1-2, pp. 133-138, 1998. doi:10.1016/S0166-3615(97)00107-3 | en |