지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2007.4
- 수록면
- 276 - 283 (8page)
이용수
초록· 키워드
오류제보하기
It has been shown that the structure identification of a neuro-fuzzy model improves their accuracy performances in a various modeling problems. In this paper, we claim that the structure identification of a neuro-fuzzy model can also reduce the degree of inconsistency of its fuzzy rulebase. Thus, the resulting neuro-fuzzy model serves as more like a structured knowledge representation scheme. For this, we briefly review a structure identification method of a neuro-fuzzy model and propose a systematic method to measure inconsistency of a fuzzy rulebase. The proposed method is applied to problems of fuzzy system reproduction and nonlinear system modeling in order to validate our claim.
목차
Abstract
1. Introduction
2. Neuro-Fuzzy Systems
3. Neuro-Fuzzy Modeling
4. Simulation Results
Conclusions
References
저자소개
참고문헌 (11)
참고문헌 신청
no , 1993 , ″A fuzzy-logic-based approach to qualitative modeling suge (and t) : 7 ~ 31
M. Kubat , Sept.1998 , Decision trees can initialize radial basis function networks 9 (5) : 813 ~ 821
Y. J. Park , 2000 , Short-term electrical load forecasting using neuro-fuzzy models 49A (3) : 107 ~ 117
B. H. Wang , Jan.2003 , Structure identification of neuro-fuzzy models using genetic algorithms : 573 ~ 576
A. Lotfi , April1996 , Learning fuzzy inference systems using an adaptive membership function scheme SMC-26 : 326 ~ 331
M. Kubat , Sept.1998 , Decision trees can initialize radial basis function networks 9 (5) : 813 ~ 821
Y. J. Park , 2000 , Short-term electrical load forecasting using neuro-fuzzy models 49A (3) : 107 ~ 117
B. H. Wang , Jan.2003 , Structure identification of neuro-fuzzy models using genetic algorithms : 573 ~ 576
A. Lotfi , April1996 , Learning fuzzy inference systems using an adaptive membership function scheme SMC-26 : 326 ~ 331
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
A Fuzzy Model of Systems using a Neuro-fuzzy Network
한국지능시스템학회 논문지
1997 .12
-
Neuro-Fuzzy 근사화 모델을 이용한 비선형 동적 시스템의 Neuro-Fuzzy 제어 ( Neuro-Fuzzy Control of Nonlinear Dynamic Systems Using Neuro-Fuzzy Identifiers )
대한전자공학회 학술대회
1992 .01
-
비선형 동적시스템의 Neuro-Fuzzy 근사화 ( Neuro-Fuzzy Identification for Nonlinear Dynamic Systems )
한국통신학회 학술대회논문집
1991 .01
-
비선형 동적 시스템의 Neuro-Fuzzy 근사화
한국통신학회 학술대회논문집
1991 .11
-
Inconsistency in Fuzzy Rulebase : Measure and Optimization
INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS
2001 .06
-
Neuro-Fuzzy Classification System of The New and Used Bills
ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications
2002 .07
-
Neuro-Fuzzy Information Processing
대한전자공학회 학술강좌 요약
1992 .01
-
NEURO-FUZZY FUSION
대한전자공학회 학술대회
1992 .01
-
Design and Implementation of an Intelligent Neuro-Fuzzy System Model
JTC-CSCC : Joint Technical Conference on Circuits Systems, Computers and Communications
1994 .01
-
지능형 뉴로-퍼지 제어기의 설계
대한전자공학회 학술대회
2009 .07
-
A Neuro-Fuzzy Adaptive Controller
제어로봇시스템학회 국내학술대회 논문집
1992 .10
-
Crack Identification Using Neuro-Fuzzy-Evolutionary Technique
KSME International Journal
2002 .04
-
Identification of Nonlinear Dynamic Systems via the Neuro-Fuzzy Computing and Genetic Algorithms
제어로봇시스템학회 국제학술대회 논문집
2005 .06
-
Fuzzy-Neuro Controller for Control of Air-Conditioning System
한국지능시스템학회 논문지
1995 .03
-
Hybrid Neuro-Fuzzy System을 응용한 교통정보 자료합성 모형의 개발
대한교통학회 학술대회지
1999 .10
-
Neuro-Fuzzy System을 이용한 철근콘크리트 부재의 부착강도 평가
한국콘크리트학회 학술대회 논문집
2016 .05
-
A Neuro-Fuzzy Approach to Integration and Control of Industrial Processes : Part Ⅱ
한국지능시스템학회 논문지
1999 .02
-
A Neuro-Fuzzy Approach to Integration and Control of Industrial Processes : Part Ⅰ
한국지능시스템학회 논문지
1998 .11
-
A New Learning Algorithm of Neuro-Fuzzy Modeling Using Self-Constructed Clustering
INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS
2005 .06
이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2009-028-014817482