Paper
21 November 1995 Fuzzy modeling of the manufacturing processes
Jeffrey Abell, Joseph Pullukat
Author Affiliations +
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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jeffrey Abell and Joseph Pullukat "Fuzzy modeling of the manufacturing processes", Proc. SPIE 2596, Modeling, Simulation, and Control Technologies for Manufacturing, (21 November 1995); https://doi.org/10.1117/12.227206
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KEYWORDS
Fuzzy logic

Data modeling

Mathematical modeling

Systems modeling

Manufacturing

Process modeling

Fuzzy systems

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