대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2007년도 제38회 하계학술대회
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- Pages.1428-1429
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- 2007
인공신경망을 이용한 Dry-Air 절연파괴 전압 추정
The presumption that breakdown characteristics of Dry-Air used to the Neural Network
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Choi, Eun-Hyeok
(Yeungnam Univ.) ;
- Kim, Tae-Eun (Yeungnam Univ.) ;
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Choi, Sang-Tae
(Gyeongju Univ.) ;
- Lee, Kwang-Sik (Yeungnam Univ.)
- 발행 : 2007.07.18
초록
The paper used to the Neral Netwok for a forecasting 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 network 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 Netwok is will play an important role for insulation diagnosis system of real site GIS and power equipment using Dry-Air gas.
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