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Neural networks in manufacturing cell design

Christodoulou Manolis, Gaganis Vasileios

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URIhttp://purl.tuc.gr/dl/dias/559754B0-E18B-466F-8062-F8CC97A85528-
Identifierhttps://doi.org/10.1016/S0166-3615(97)00107-3-
Identifierhttp://www.sciencedirect.com/science/article/pii/S0166361597001073-
Languageen-
Extent6 pagesen
TitleNeural networks in manufacturing cell designen
CreatorChristodoulou Manolisen
CreatorΧριστοδουλου Μανωληςel
CreatorGaganis Vasileiosen
CreatorΓαγανης Βασιλειοςel
PublisherElsevieren
Content SummaryThis 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 ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-07-
Date of Publication1999-
SubjectArtificial neural networksen
SubjectNets, Neural (Computer science)en
SubjectNetworks, Neural (Computer science)en
SubjectNeural nets (Computer science)en
Subjectneural networks computer scienceen
Subjectartificial neural networksen
Subjectnets neural computer scienceen
Subjectnetworks neural computer scienceen
Subjectneural nets computer scienceen
SubjectManufacturing engineeringen
SubjectProcess engineeringen
Subjectproduction engineeringen
Subjectmanufacturing engineeringen
Subjectprocess engineeringen
Bibliographic CitationM. 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)00107-3en

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