NDLI: Optimizing parameters of LS-SVM based on chaotic ant swarm algorithm

Content Provider	IEEE Xplore Digital Library
Author	Chunli Xie Cheng Shao Dandan Zhao Jiangtao Cao
Copyright Year	2011
Description	Author affiliation: School of Information and Control Engineering, Liaoning Shihua University, Fushun 113001, China (Jiangtao Cao) \|\| School of Computer Science and Engineering, Dalian Nationalities University, Liaoning Province, 116024, China (Dandan Zhao) \|\| Faculty of Electronic Information and Electrical, Engineering Dalian University of Technology, Liaoning Province, 116024, China (Chunli Xie; Cheng Shao)
Abstract	Appropriate parameters are very crucial to the learning performance and generalization ability of least-squares support vector machines (LS-SVM). In this paper, a novel parameter selection method for LS-SVM is presented based on chaotic ant swarm (CAS) algorithm. The selection problem of LS-SVM parameters is considered as a compound optimization problem. Then objective function of optimization problem is set and a CAS optimization algorithm is employed to search optimal objective function. CAS algorithm is global search method and it need not to consider LS-SVM dimensionality and complexity. The simulation results show that the proposed method is an effective approach for parameter optimization and the good performance for function approximation is obtained.
Starting Page	3410
Ending Page	3413
File Size	362615
Page Count	4
File Format	PDF
ISBN	9781424480364
e-ISBN	9781424480395
DOI	10.1109/ICEICE.2011.5777991
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Chaos LS-SVM Biological system modeling Solitons Approximation algorithms Parameters optimization Kernel Chaotic Ant Swarm Algorithm Optimization
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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