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Content Provider | IEEE Xplore Digital Library |
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Author | Xiao-Hua Bao Qun-Jing Wang You-Yuan Ni |
Copyright Year | 2005 |
Description | Author affiliation: Sch. of Electr. Eng. & Automatization, Hefei Univ. of Technol., China (Xiao-Hua Bao; Qun-Jing Wang; You-Yuan Ni) |
Abstract | A novel way about nonlinear regression modeling of the claw-pole alternator oriented to the computer-aided design (CAD) with the support vector machines (SVM) is presented in this paper. The training samples are rooted in the severe finite element model (FEM) simulation. Parameter optimization of the claw-pole alternator is also presented, which is based on chaos and uses the SVM regression model as the objective function. This integration preserves the benefits of the SVM regression model and the chaos, where the SVM regression model is high efficiency and the chaos might be very useful for finding the optimal structure parameter. |
Sponsorship | IEEE Syst., Man and Cybernetics Tech. Comm. on Cybernetics, Hong Kong Polytechnic Univ. Hebei Univ. South China Univ. Chongqing Univ. Sun Yat-sen Univ. Harbin Inst. of Technol. and Int. Univ. in Germany |
Starting Page | 4012 |
Ending Page | 4016 |
File Size | 372191 |
Page Count | 5 |
File Format | |
ISBN | 0780390911 |
DOI | 10.1109/ICMLC.2005.1527639 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2005-08-18 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Alternators Support vector machines Chaos Support vector machine classification Magnetic analysis Magnetic flux Magnetic fields Design automation Finite element methods Artificial neural networks chaos Claw-pole alternator finite element model support vector machines |
Content Type | Text |
Resource Type | Article |
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