Fuzzy neural network for in-process error compensation

Erping Zhou; D. K. Harrison; D. Link; R. Healey

doi:10.1117/12.184793

13 September 1994 Fuzzy neural network for in-process error compensation

Erping Zhou, D. K. Harrison, D. Link, R. Healey

Proceedings Volume 2361, Second European Conference on Smart Structures and Materials; (1994) https://doi.org/10.1117/12.184793
Event: Smart Structures and Materials: Second European Conference, 1994, Glasgow, United Kingdom

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.

Citation Download Citation

Erping Zhou, D. K. Harrison, D. Link, and R. Healey "Fuzzy neural network for in-process error compensation", Proc. SPIE 2361, Second European Conference on Smart Structures and Materials, (13 September 1994); https://doi.org/10.1117/12.184793

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