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Simulation of manufacturing models and its learning with artificial neural networks

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2 Author(s)
Shim, K. ; Lab. STRAD, Ecole des Mines de St-Etienne, France ; Mathon, A.

Introduces some new faces of simulation for intelligent manufacturing systems. Not only the productive parameters are treated from a multi-level point of view but the economic indicators were calculated with global optimistic features. The general marketing aspects are considered as critical conditions. To solve several decision making problems of a complex manufacturing organization, the authors extract meaningful variables to observe by data analysis and construct an artificial neural net. The authors try to take some advantages of non-symbolic processing such that parallel treatment and its implementation guide toward a real-time system, learning capabilities also can be applied independently to problems.

Published in:

Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on  (Volume:1 )

Date of Conference:

25-29 Oct. 1993

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