인공신경망을 이용한 방전전하량 추정에 관한 연구

• 영문명: The Presume that Discharge Amount used to the Neural Network
• 발행기관: 한국산업기술융합학회(구. 산업기술교육훈련학회)
• 저자명: 이정근(Jung-Keun Lee) 송재우(Jae-Woo Song)
• 간행물 정보: 『산업기술연구논문지』산업기술교육훈련논문지 제16권 3호, 63~68쪽, 전체 6쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2011.09.30

영문 초록

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.

목차

Ⅰ. 서 론

Ⅱ. 인공신경망 해석을 위한 모델

Ⅲ. 신경망을 이용한 부분방전 모델

Ⅳ. 인공신경망을 이용한 절연특성추정

Ⅳ. 결 론

키워드

Neral Network(인공신경망) Imitation-Air(제조공기)