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Volumn 34, Issue 3, 2008, Pages 1938-1947

Partial discharge pattern classification using composite versions of probabilistic neural network inference engine

Author keywords

Artificial neural network (ANN); Composite original probabilistic neural network (COPNN); Partial discharge (PD); Pattern classification; Probabilistic neural network (PNN)

Indexed keywords

ELECTRIC DISCHARGES; ELECTRIC INSULATION; INFERENCE ENGINES; PATTERN RECOGNITION; PROBABILISTIC LOGICS;

EID: 37349032308     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2007.02.005     Document Type: Article
Times cited : (40)

References (13)
  • 3
    • 0011759934 scopus 로고
    • Recognition of discharges
    • CIGRE Working Group 21.03. Recognition of discharges. Electra 11 (1969) 61-98
    • (1969) Electra , vol.11 , pp. 61-98
    • CIGRE Working Group 21.031
  • 5
    • 0027808474 scopus 로고
    • Neural network as a tool for recognition of partial discharges
    • Gulski E., and Krivda A. Neural network as a tool for recognition of partial discharges. IEEE Transactions on Electrical Insulation 28 6 (1993) 984-1001
    • (1993) IEEE Transactions on Electrical Insulation , vol.28 , Issue.6 , pp. 984-1001
    • Gulski, E.1    Krivda, A.2
  • 10
    • 0027882306 scopus 로고
    • PD pattern recognition with Neural Network using the Multilayer Perceptron technique
    • Mazroua A.A., and Salama M.M.A. PD pattern recognition with Neural Network using the Multilayer Perceptron technique. IEEE Transactions on Electrical Insulation 28 6 (1993) 1082-1089
    • (1993) IEEE Transactions on Electrical Insulation , vol.28 , Issue.6 , pp. 1082-1089
    • Mazroua, A.A.1    Salama, M.M.A.2
  • 12
    • 0024123401 scopus 로고    scopus 로고
    • Specht, Donald F. (1988). Probabilistic neural networks for classification, mapping or associative memory. In Proceedings of IEEE international conference neural networks (vol. 1, pp. 525-532).
  • 13
    • 0028742240 scopus 로고    scopus 로고
    • Specht, Donald F., & Romsdahl, H. (1994). Experience with adaptive probabilistic neural network and adaptive general regression neural network. In Proceedings of IEEE international conference neural networks (vol. 2, pp. 1203-1208), Orlando, FL.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.