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  Neuro-fuzzy control of complex manufacturing processes
 
 
Title: Neuro-fuzzy control of complex manufacturing processes
Author: Shin, Y. C.
Vishnupad, P.
Appeared in: International journal of production research
Paging: Volume 34 (1996) nr. 12 pages 3291-3309
Year: 1996-12-01
Contents: A scheme for intelligent optimization and control of complex manufacturing processes is presented. The underlying nonlinear process is modelled by artificial neural networks and process control is performed by fuzzy logic. Fuzzy rules are automatically generated from the trained neural networks through a novel rule generation mechanism and fuzzy control is performed by Mamdani implication. Simulation results show that the proposed approach can provide a robust and accurate way of controlling complex processes without comprehensive models or knowledge about the process.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

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