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A new support vector machine optimized by improved particle swarm optimization and its application

โœ Scribed by Li, Xiang ;Yang, Shang-dong ;Qi, Jian-xun

Publisher
Chinese Electronic Periodical Services
Year
2006
Tongue
English
Weight
566 KB
Volume
13
Category
Article
ISSN
1005-9784

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โœ Xianlun Tang; Ling Zhuang; Jun Cai; Changbing Li ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 263 KB

A novel method of training support vector machine (SVM) by using chaos particle swarm optimization (CPSO) is proposed. A multi-fault classification model based on the SVM trained by CPSO is established and applied to the fault diagnosis of rotating machines. The results show that the method of train