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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- Korean Institute of Information Scientists and Engineers Journal of Electrical Engineering and Information Science Journal of Electrical Engineering and Information Science Vol.3 No.3
- 발행연도
- 1998.6
- 수록면
- 342 - 347 (6page)
이용수
초록· 키워드
오류제보하기
An OptiNeural system is developed for optical pattern classification. It is a novel hybrid system which consists of an optical processor and a multilayer neural network. It takes advantages of two dimensional processing capability of an optical processor and nonlinear mapping capability of a neural network. The optical processor with a binary phase only filter is used as a preprocessor for feature extraction and the neural network is used as a decision system through mapping. OptiNeural system is trained for optical pattern classification by use of a simulated annealing algorithm. Its classification performance for grey tone texture patterns is excellent, while a conventional optical system shows poor classification performance.
목차
Abstract
Ⅰ. Introduction
Ⅱ. Conventional Optical System for Optical Pattern Classification
Ⅲ. Description of OptiNeural System
Ⅳ. OptiNeural System for Optical Pattern Classification
Ⅴ. Conclusion
References
저자소개
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