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Proceedings Paper

Fuzzy modeling of the manufacturing processes
Author(s): Jeffrey Abell; Joseph Pullukat
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Paper Abstract

Detailed simulation of manufacturing processes is traditionally a time intensive and computationally expensive process. This research is aimed at reducing the time for a single cycle simulation by using a fuzzy model to describe the process. The training set is generated by a designed experiment and the fuzzy parameters are optimized by backpropagation.

Paper Details

Date Published: 21 November 1995
PDF: 8 pages
Proc. SPIE 2596, Modeling, Simulation, and Control Technologies for Manufacturing, (21 November 1995); doi: 10.1117/12.227206
Show Author Affiliations
Jeffrey Abell, General Motors Corp. (United States)
Joseph Pullukat, General Motors Corp. (United States)

Published in SPIE Proceedings Vol. 2596:
Modeling, Simulation, and Control Technologies for Manufacturing
Ronald Lumia, Editor(s)

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