한국전기전자재료학회:학술대회논문집 (Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference)
- 한국전기전자재료학회 2003년도 하계학술대회 논문집 Vol.4 No.2
- /
- Pages.1163-1167
- /
- 2003
PD 분류에 있어서 핑거프린트법과 신경망의 비교
Comparison with Finger Print Method and NN as PD Classification
- Park, Sung-Hee (Dept. of Electrical Eng. Chungbuk National Uni.) ;
- Park, Jae-Yeol (Dept. of Electrical Eng. Chungbuk National Uni.) ;
- Lee, Kang-Won (KRRI) ;
- Kang, Seong-Hwa (Dept. of Industrial Safety Eng. Chungcheong College) ;
-
Lim, Kee-Joe
(Dept. of Electrical Eng. Chungbuk National Uni.)
- 발행 : 2003.07.10
초록
As a PD classification method, statistical distribution parameters have been used during several ten years. And this parameters are recently finger print method, NN(Neural Network) and etc. So in this paper we studied finger print method and NN with BP(Back propagation) learning algorithm using the statistical distribution parameter, and compared with two method as classification method. As a result of comparison, classification of NN is more good result than Finger print method in respect to calculation speed, visible effect and simplicity. So, NN has more advantage as a tool for PD classification.