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Messom_Hinde_West_Williams_IEEE_1992.pdf (565.94 kB)

Designing neural networks for manufacturing process control systems

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conference contribution
posted on 2009-01-27, 09:11 authored by Christopher H. Messom, Chris J. Hinde, Andrew WestAndrew West, David Williams
The design of neural networks for the control of discrete manufacturing processes is addressed. Rather than treating the networks as adaptive black boxes, an architecture that links the weights associated with the nodes and thus allows the relationships and internal structure to be tightly constrained is introduced. The constrained search space gives greater confidence in the internal representations that have been induced by the training set and therefore about the correct behavior of the network between the given limits. The method is illustrated by applying it to the dispensing of adhesives

History

School

  • Science

Department

  • Computer Science

Citation

MESSOM, C.H. ... et al, 1992. Designing neural networks for manufacturing process control systems. IN: Proceedings of the IEEE International Symposium on Intelligent Control, 11-13 Aug, pp. 423-429

Publisher

© IEEE

Version

  • VoR (Version of Record)

Publication date

1992

Notes

This is a conference paper [© IEEE]. It is also available at: http://ieeexplore.ieee.org/ Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

ISBN

0780305469

Language

  • en