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THE APPLICATION OF RADIAL BASIS FUNCTION NETWORK FOR USING SIGNAL PROCESSING OF GEOMETRIC DIMENSION MEASUREMENT

Tran Huu Tam 1
Ngo Kieu Nhi 1
Dang Van Nghin 1
Volume & Issue: Vol. 3 No. 9&10 (2000) | Page No.: 79-84 | DOI: 10.32508/stdj.v3i9&10.3600
Published: 2000-10-31

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Copyright The Author(s) 2023. This article is published with open access by Vietnam National University, Ho Chi Minh city, Vietnam. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. 

Abstract

The paper presents the application theory of RBF (Radial basis function) neural network for using signal processing of geometric dimension measurement by coordinate measuring machine (CMM) which have five degrees of freedom. The result compare with minimum square method. Hence, we see eminent character of RBF network method when application in this case.

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