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Volumn 2, Issue , 2009, Pages 1188-1193

RBF-SVM and its application on reliability evaluation of electric power system communication network

Author keywords

Electric power system communication network; Indicator system; Kernel function; RBF SVM; Reliability evaluation

Indexed keywords

ELECTRIC POWER SYSTEM COMMUNICATION NETWORK; INDICATOR SYSTEM; KERNEL FUNCTION; RBF-SVM; RELIABILITY EVALUATION;

EID: 70350706304     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2009.5212365     Document Type: Conference Paper
Times cited : (27)

References (6)
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    • Nello. Cristianini and John. Shawe-Taylor, "An Introduction to Support Vector Machines and Other Kernel-based Learning Methods", Publishing House of Electronics Industry, Beijing, 2004.
  • 2
    • 0032594959 scopus 로고    scopus 로고
    • An Overview of Statistical Learning Theory
    • Vladimir. N.Vapnik, "An Overview of Statistical Learning Theory", IEEE Transaction Neural Networks, Vol.5, No.10, pp.988-999, 1999.
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  • 3
    • 0002343859 scopus 로고    scopus 로고
    • Introduction to Statistical Learning Theory and Support Vector Machines
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    • Zhang, X.1
  • 4
    • 58049121030 scopus 로고    scopus 로고
    • SVM with RBF kernel and its application research
    • Xiaofei Yan, Hongwei Ge, "SVM with RBF kernel and its application research", Computer Engineering and Design, Vol.11, No.27, pp.1996-1998, 2006.
    • (2006) Computer Engineering and Design , vol.11 , Issue.27 , pp. 1996-1998
    • Yan, X.1    Ge, H.2
  • 5
    • 70350744862 scopus 로고    scopus 로고
    • Comprehensive assessment of information systems by using the AHP
    • Liyi Zhang, Xiaofen Wang, "Comprehensive assessment of information systems by using the AHP", Intelligence Magazine, Vol.1, pp.83-85, 2005.
    • (2005) Intelligence Magazine , vol.1 , pp. 83-85
    • Zhang, L.1    Wang, X.2
  • 6
    • 70350744684 scopus 로고    scopus 로고
    • The comparative study of training algorithm for Support Vector Machine
    • Liang Bai, Songyang Lao, Yanli Hu, "The comparative study of training algorithm for Support Vector Machine", Computer Engineering and Applications, Vol.17, pp.79-83, 2005.
    • (2005) Computer Engineering and Applications , vol.17 , pp. 79-83
    • Bai, L.1    Lao, S.2    Hu, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.