서지주요정보
論理를 사용한 認識機 = Logic based classifier
서명 / 저자 論理를 사용한 認識機 = Logic based classifier / 김온직.
저자명 김온직 ; Kim, On-Jik
발행사항 [서울 : 한국과학기술원, 1981].
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4001296

소장위치/청구기호

학술문화관(문화관) 보존서고

MEE 8104

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초록정보

Some distinct merits has pattern classification using $VL_1$ formula compared with other traditional (especially mathematical) approach. 1. It can deal with problems containing nonlinear or norminal variables. 2. Simplified $VL_1$ classification rule through reduction variables requires less computing time than that in case of mathematical approach to classify input data. 3. Understanding the process of classification is very easy to comprehend because it resambles human tendancy to recognize objects or classes of objects. Thus it is considered as a powerful tool to solve the problems which have large number of variables or classes and norminal or non-linear variables. The concept of VVL was first introduced in 1972 by R.S. Michalsky[1]. $VL_1$ is a kind of VVL having only one output, which was devised especially for pattern classification. Michalski also developed Algorithm G, covering algorithm for classes experienced in $VL_1$ formula. This thesis is the FORTRAN implementation of $VL_1$ formula synthesis based on the algorithm. The first, and only computer implementation of Algorithm G in $PL_1$ has been made by Larson and Michalski in bit string mode, which works for the problems with less than 11 cardinality of domain [5]. On the other hand, employing the boundary value manipulation in this program makes it possible to deal with problems containing even extremely large size of domain or improperly selected domain without any difficulties. Thus, it can be applied to various pattern recognition problems, such as speech recognition, feature selection, scene matching and image understanding, etc.

서지기타정보

서지기타정보
청구기호 {MEE 8104
형태사항 iii, 42 p. : 삽도 ; 26 cm
언어 한국어
일반주기 부록 수록
저자명의 영문표기 : On-Jik Kim
지도교수의 한글표기 : 석민수
지도교수의 영문표기 : Min-Soo Suk
학위논문 학위논문(석사) - 한국과학기술원 : 전기및전자공학과,
서지주기 참고문헌 : p. 40-41
주제 Computer algorithms.
패턴 인식. --과학기술용어시소러스
논리 프로그래밍. --과학기술용어시소러스
컴퓨터 알고리듬. --과학기술용어시소러스
Pattern perception.
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