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Title: An auto-tuning algorithm for the IRBF network of brushless DC motor
Authors: Ho, SL 
Fei, M
Cheng, KWE 
Wong, HCC
Issue Date: Mar-2004
Source: IEEE transactions on magnetics, Mar. 2004, v. 40, no. 2, p. 1168-1171
Abstract: The integrated radial basis function (IRBF) network has been reported as an efficient algorithm to study the performance of brushless dc motors. However, such an algorithm cannot be implemented readily since it is difficult to auto-tune or even to find the undetermined coefficients in the integrated RBF network. In this paper, a novel auto-tuning algorithm that can effectively guarantee the automatic implementation of the integrated RBF network of a brushless dc motor is reported.
Keywords: DC motors
Finite element analysis
Radial basis function networks
Publisher: Institute of Electrical and Electronics Engineers
Journal: IEEE transactions on magnetics 
ISSN: 0018-9464
EISSN: 1941-0069
DOI: 10.1109/TMAG.2004.824802
Rights: © 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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