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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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Article Details
Issue: Vol 3 No 9&10 (2000)
Page No.: 79-84
Published: Oct 31, 2000
Section: Article
DOI: https://doi.org/10.32508/stdj.v3i9&10.3600
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Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Huu Tam, T., Kieu Nhi, N., & Van Nghin, D. (2000). THE APPLICATION OF RADIAL BASIS FUNCTION NETWORK FOR USING SIGNAL PROCESSING OF GEOMETRIC DIMENSION MEASUREMENT. Science and Technology Development Journal, 3(9&10), 79-84. https://doi.org/https://doi.org/10.32508/stdj.v3i9&10.3600
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