Modeling of the exhaust box assembly workshop using neural networks

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Modeling of the exhaust box assembly workshop using neural networks

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dc.contributor.author El-Fouly, Tarek
dc.contributor.author Shtay, A
dc.contributor.author Aly, G.M
dc.date.accessioned 2009-12-27T09:27:32Z
dc.date.available 2009-12-27T09:27:32Z
dc.date.issued 2008-09-06
dc.identifier.citation Volume: 1 en_US
dc.identifier.uri http://dx.doi.org/10.1109/IS.2008.4670423
dc.identifier.uri http://hdl.handle.net/10576/10484
dc.description.abstract The paper investigates the use of artificial neural networks in modeling and control of manufacturing systems. This approach models the various elements of a manufacturing system by the form of neural networks. The modeling approximates discrete systems by continuous models. The suggested model is applied to the approximation of a manufacturing system, the approximated model is then simulated and trained to control the machines to achieve some desired targets. The system presented in this paper is the subset exit beam of the back silencer. The system is simulated at the end with and without training of the neural network. en_US
dc.language.iso en en_US
dc.subject Neural Networks en_US
dc.subject Modeling en_US
dc.subject Manufacturing Systems en_US
dc.subject Control en_US
dc.title Modeling of the exhaust box assembly workshop using neural networks en_US
dc.type Article en_US

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