신경회로망을 이용한 퍼지 IF-THEN 규칙 정제 방법
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ID: 271915
1970
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Abstract
지식 획득 또는 추출은 인공지능 분야에서 전문가 시스템 개발의 장애로 여겨진다. 퍼지 IF-THEN 규칙들은 불확실한 지식의 가장 흔히 사용되는 표현 도구이며, 인공지능에 널리 적용된다. Training data의 불충분과 규칙추출 방법의 한계와 같은 불확실한 요인들 때문에, 데이터로부터 추출된 퍼지 IF-THEN 규칙들은 만족한 성능을 갖지 못한다. 이
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| Reference Key |
염찬욱1970한국정보기술학회논문지신경회로망을
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| Authors | 염찬욱;최한수; |
| Journal | 한국정보기술학회논문지 |
| Year | 1970 |
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