Abstract
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.
Original language | English |
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Title of host publication | Proceedings of the 1992 IEEE International Symposium on Intelligent Control |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 423-429 |
Number of pages | 7 |
ISBN (Electronic) | 0780305469 |
DOIs | |
Publication status | Published - 1 Jan 1992 |
Event | IEEE International Symposium on Intelligent Control 1992 - Glasgow, Scotland, United Kingdom Duration: 11 Aug 1992 → 13 Aug 1992 https://ieeexplore.ieee.org/xpl/conhome/629/proceeding (Proceedings) |
Publication series
Name | IEEE International Symposium on Intelligent Control - Proceedings |
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Volume | 1992-August |
Conference
Conference | IEEE International Symposium on Intelligent Control 1992 |
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Abbreviated title | ISIC 1992 |
Country/Territory | United Kingdom |
City | Glasgow, Scotland |
Period | 11/08/92 → 13/08/92 |
Internet address |
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