지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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.4 No.3
- 발행연도
- 1999.6
- 수록면
- 357 - 363 (7page)
이용수
초록· 키워드
오류제보하기
During the past decade, several specific hardware systems for fast fuzzy inference have been developed. However, most of them are dedicated to be executed sequentially rule by rule, although they pose parallel processing manners in operations of Min/Max computations. In this paper, we propose a novel parallel inference method which is capable of processing several fuzzy rules simultaneously by using a T800 Transputer system. For this, each membership function has its own index. Only active rules are searched and executed concurrently. We also analyze the worst case upper bound for internode message delays. The proposed system has a relatively higher speedup, compared with the results of experiments in a single processor. This parallel fuzzy inference system can be used for a system requiring a rapid inference time in a real-time system. This system is applied to build powerful architectures for control applications such as robot control.
목차
Abstract
Ⅰ. Introduction
Ⅱ. The T800 Transputer
Ⅲ. Parallel inference method of fuzzy rules
Ⅳ. Experimental results
Ⅴ. Conclusion
References
저자소개
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