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Volumn 3, Issue , 2005, Pages 2653-2660

Overcoming limitations of NNs for on-line DSA

Author keywords

Dynamic Stability Assessment; Feature Selection; Neural Network; Rule Extraction; Support Vector Machine

Indexed keywords

DYNAMIC STABILITY ASSESSMENT; FEATURE SELECTION; RULE EXTRACTION; SUPPORT VECTOR MACHINE;

EID: 27144503067     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (11)
  • 7
    • 2542625918 scopus 로고    scopus 로고
    • Support vector machines for transient stability analysis of large-scale power systems
    • May
    • L. S. Moulin, A. P. Alves da Silva, M. A. El-Sharkawi, and R. J. Marks II, "Support Vector Machines for Transient Stability Analysis of Large-Scale Power Systems", IEEE Trans. on Power Systems, Vol. 19, No. 2, pp. 818-825, May 2004.
    • (2004) IEEE Trans. on Power Systems , vol.19 , Issue.2 , pp. 818-825
    • Moulin, L.S.1    Alves Da Silva, A.P.2    El-Sharkawi, M.A.3    Marks II, R.J.4
  • 9
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale SVM learning practical
    • Editors: B. Scholkopf, J. C. C. Burges, and A. J. Smola, MIT Press
    • T. Joachims, "Making Large-Scale SVM Learning Practical", in Advances in Kernel Methods - Support Vector Learning, Editors: B. Scholkopf, J. C. C. Burges, and A. J. Smola, MIT Press, 1998.
    • (1998) Advances in Kernel Methods - Support Vector Learning
    • Joachims, T.1
  • 10
    • 84861264636 scopus 로고    scopus 로고
    • http://www-ra.informatik.uni-tuebingen.de/SNNS/
  • 11
    • 0028482596 scopus 로고
    • Decision trees for real-time transient stability prediction
    • Aug.
    • S. Rovnyak, S. Kretsinger, J. Thorp, and D. Brown, "Decision Trees for Real-Time Transient Stability Prediction", IEEE Trans. on Power Systems, Vol. 9, No. 3, pp. 1417-1426, Aug. 1994.
    • (1994) IEEE Trans. on Power Systems , vol.9 , Issue.3 , pp. 1417-1426
    • Rovnyak, S.1    Kretsinger, S.2    Thorp, J.3    Brown, D.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.