인공신경망을 이용한 방전전하량 추정에 관한 연구
The Presume that Discharge Amount used to the Neural Network
- 한국산업기술융합학회(구. 산업기술교육훈련학회)
- 산업기술연구논문지
- 산업기술교육훈련논문지 제16권 3호
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2011.0963 - 68 (6 pages)
- 5

The paper used to the Neral Network for a forcasting conservation system. A neural network is a powerful data modeling tool that is able to capture and represent complex input/output relationships. The motivation for the development of neural network technology stemmed from the desire to develop an artificial system that could perform “intelligent” tasks similar to those performed by the human brain. The true power and advantage of neural networks lies in their ability to represent both linear and non-linear relationships and in their ability to learn these relationships directly from the data being modeled. Form results of this study, the Neral Network is will play an important role for insulation diagnosis system of real site GIS and power equipment using Imitation-Air.
Ⅰ. 서 론
Ⅱ. 인공신경망 해석을 위한 모델
Ⅲ. 신경망을 이용한 부분방전 모델
Ⅳ. 인공신경망을 이용한 절연특성추정
Ⅳ. 결 론
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