서지주요정보
홀로그램 연상기억을 이용한 광학적 연상인식에 관한 연구 = Optical pattern recognition based on holographic associative memory
서명 / 저자 홀로그램 연상기억을 이용한 광학적 연상인식에 관한 연구 = Optical pattern recognition based on holographic associative memory / 서호형.
저자명 서호형 ; Suh, Ho-Hyung
발행사항 [대전 : 한국과학기술원, 1991].
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소장정보

등록번호

8002259

소장위치/청구기호

학술문화관(문화관) 보존서고

DAP 9116

SMS전송

도서상태

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초록정보

Neural networks are characterized by massive parallelism, dense interconncection of processing elements(neurons), and information storage in distributed manners. Optical information processing using hologram inherently has such properties. In this thesis, optical pattern recognition using holographic associative memory(HAM) is investigated, which is based on linear associative memory(LAM), quadratic associative memory(QAM), three-layer network, and adaptive learning rule. As an application of LAM, rotation invariant pattern recognition is optically implemented. Patterns are stored in the HAM by using the scattered light holography, in which a memory pattern is associated holographically with its several(nine in this thesis) rotated patterns in different part of recording medium. For the input pattern rotated by any angle within -90°<θ<+90°, the associated memory pattern is reconstructed. Two memory patterns ㄱ and ㅅare stored in the HAM. An optical system of QAM is proposed and implemented for the three memory patterns L, T, and X. The results of experiment and computer simulation show that the capacities of storage and error correction ability of QAM are greater than those of LAM. In three-layer network, the SNR and storage capacity could be increased by introducing orthogonal intermediate patterns. Two holograms and a LCTV are used in optical system. In the experiment, four characters ㄹ,ㅅ,ㅇ, and ㅈ are taken as four memory patterns. A holographic associative memory based on the adaptive learning which uses learning pattern method(LPM) is developed. The LPM utilizes the simple optical implementation of outer-product learning and the performance of adaptive learning. The learning patterns extracted from the interconnection matrix are stored in the HAM instead of the memory patterns. Results of the optical experiment and the computer simulation are represented for three memory patterns ㄱ,ㄷ, and ㅁ. This system will be a good solution for recognizing the characters or images which have similar or common parts in others such as human faces and fingerprints.

서지기타정보

서지기타정보
청구기호 {DAP 9116
형태사항 iv, 109 p. : 삽도 ; 26 cm
언어 한국어
일반주기 저자명의 영문표기 : Ho-Hyung Suh
지도교수의 한글표기 : 김병윤
공동교수의 한글표기 : 이상수
지도교수의 영문표기 : Byoung-Yoon Kim
공동교수의 영문표기 : Sang-Soo Lee
학위논문 학위논문(박사) - 한국과학기술원 : 물리학과,
서지주기 참고문헌 : p. 106-109
주제 Optical pattern recognition
Holography
Neural networks (Computers)
홀로그램 --과학기술용어시소러스
패턴 인식 --과학기술용어시소러스
광학 정보 처리 --과학기술용어시소러스
신경 회로망 --과학기술용어시소러스
Optical storage devices
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