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An Analog Circuit Fault Diagnosis Method Based on SVM Optimized with BQPSO


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V. Sugumaran, V. Muralidharan, K. I. Ramachandran. Feature selection using Decision Tree and classification through Proximal Support Vector Machine for fault diagnostics of roller bearing [J]. Mechanical Systems and Signal Processing, 2007, 21: 930-942.10.1016/j.ymssp.2006.05.004 Search in Google Scholar

Tai-Yue Wang, Huei-Min Chiang. Fuzzy support vector machine for multi-class text categorization [J]. Information Processing and Management, 2007, 43: 914-929.10.1016/j.ipm.2006.09.011 Search in Google Scholar

Allwein E L, Schapire R E, Singer Y. Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers [J]. Journal of Machine Learning Research, 2000, (1): 113-141. Search in Google Scholar

DUAN Xiu-sheng, SHAN Gan-lin. Hierarchical Support Vector Machine for Multi-class Classification [J]. JOURNAL OF ORDNANCE ENGINEERING COLLEGE, 2009,21(1): 64-66. Search in Google Scholar

Li Baochen, Huang Kaoli. Study on Generation of A Multiple Fault Minimal Candidates Set Based on BQPSO [J]. Computer Measurement & Control, 2013,21(6): 1476-1482. Search in Google Scholar

HAN Ying-xian, LIU Jing. Path Planning Algorithm for Underwater Vehicle Based on BQPSO [J]. COMPUTER ENGINEERING, 2011,37(8): 216-218. Search in Google Scholar

Wang Cheng, Yang Sen. Research on Fault Prediction of Power Supply Based on SVR Optimized with Improved QPSO [J]. Computer Measurement & Control , 2014,22(5): 1342-1344. Search in Google Scholar

eISSN:
2470-8038
Język:
Angielski
Częstotliwość wydawania:
4 razy w roku
Dziedziny czasopisma:
Computer Sciences, other