DocumentCode :
3223267
Title :
Designing neural networks for manufacturing process control systems
Author :
Messom, C.H. ; Hinde, C.J. ; West, A.A. ; Williams, D.J.
Author_Institution :
Loughborough Univ. of Technol., UK
fYear :
1992
fDate :
11-13 Aug 1992
Firstpage :
423
Lastpage :
429
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
Keywords :
learning (artificial intelligence); neural nets; process computer control; adhesive dispensing; constrained search space; design; discrete manufacturing processes; manufacturing process control; neural networks; nodes; process computer control; Adaptive systems; Computer aided manufacturing; Computer networks; Control systems; Design engineering; Equations; Manufacturing processes; Neural networks; Process control; Pulp manufacturing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control, 1992., Proceedings of the 1992 IEEE International Symposium on
Conference_Location :
Glasgow
ISSN :
2158-9860
Print_ISBN :
0-7803-0546-9
Type :
conf
DOI :
10.1109/ISIC.1992.225128
Filename :
225128
Link To Document :
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