Designing neural networks for manufacturing process control systems

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 constrain...

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Bibliographic Details

Main Authors:	Christopher H. Messom, Chris J. Hinde, Andrew West, David Williams
Format:	Default Conference proceeding
Published:	1992
Subjects:	Other information and computing sciences not elsewhere classified Learning (artificial intelligence) Neural nets Process computer control Information and Computing Sciences not elsewhere classified
Online Access:	https://hdl.handle.net/2134/4121
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