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Proceedings Paper

Fuzzy neural network for in-process error compensation
Author(s): Erping Zhou; D. K. Harrison; D. Link; R. Healey
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Paper Abstract

In this paper, a fuzzy neural network applied to in-process error compensation on CNC machine tools is proposed. The system is designed by a linguistic rule-based fuzzy controller and trained by a back propagation neural network to adjust and develop the control rules.

Paper Details

Date Published: 13 September 1994
PDF: 4 pages
Proc. SPIE 2361, Second European Conference on Smart Structures and Materials, (13 September 1994); doi: 10.1117/12.184793
Show Author Affiliations
Erping Zhou, Bolton Institute of Higher Education (United Kingdom)
D. K. Harrison, Staffordshire Univ. (United Kingdom)
D. Link, Staffordshire Univ. (United Kingdom)
R. Healey, Bolton Institute of Higher Education (United Kingdom)


Published in SPIE Proceedings Vol. 2361:
Second European Conference on Smart Structures and Materials
Alaster McDonach; Peter T. Gardiner; Ron S. McEwen; Brian Culshaw, Editor(s)

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