한국산업융합학회 논문집 (Journal of the Korean Society of Industry Convergence)
- 제3권4호
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- Pages.361-367
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- 2000
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- 1226-833X(pISSN)
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- 2765-5415(eISSN)
모멘트를 이용한 비선형 주요성분분석 신경망의 효율적인 학습알고리즘
An efficient learning algorithm of nonlinear PCA neural networks using momentum
- 조용현 (대구가톨릭대학교 공과대학 컴퓨터정보통신공학부)
- Cho, Yong-Hyun (School of computer & Information Comm. Eng., Catholic Univ. of Daegu)
- 투고 : 2000.08.20
- 심사 : 2000.11.25
- 발행 : 2000.11.30
초록
This paper proposes an efficient feature extraction of the image data using nonlinear principal component analysis neural networks of a new learning algorithm. The proposed method is a learning algorithm with momentum for reflecting the past trends. It is to get the better performance by restraining an oscillation due to converge the global optimum. The proposed algorithm has been applied to the cancer image of
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