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논문 기본 정보
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- 제어로봇시스템학회 International Journal of Control, Automation, and Systems International Journal of Control, Automation, and Systems 제3권 제2호
- 발행연도
- 2005.6
- 수록면
- 183 - 194 (12page)
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목차
Abstract
1. INTRODUCTION
2. THE ARCHITECTURE OF CONVENTIONAL HYBRID FUZZY NEURAL NETWORKS (HFNN)
3. THE ARCHITECTURE AND DEVELOPMENT OF GENETICALLY OPTIMIZED HFNN (GHFNN)
4. THE ALGORITHMS AND DESIGN PROCEDURE OF GENETICALLY OPTIMIZED HFNN (GHFNN)
5. EXPERIMENTAL STUDIES
6. CONCLUDING REMARKS
REFERENCES
참고문헌 (27)
참고문헌 신청
[학술지(정기간행물)] - / 2000. / Fuzzy identification by means of auto-tuning algorithm and its application to nonlinear systems 115 : 205 ~ 230
[학술지(정기간행물)] - / 2001. / Identification of fuzzy models with the aid of evolutionary data granulation 148 : 406 ~ 418
[학술지(정기간행물)] - / 2002. / Hybrid identification of fuzzy rule-based models International Journal of Intelligent Systems 17 : 77 ~ 103
[학술지(정기간행물)] - / 1999. / Optimization of fuzzy systems by means of GA and weighting factor pp. 789-799
[학술지(정기간행물)] - / inkorean / On-line modeling of nonlinear process systems using the adaptive fuzzy-neural networks pp. 1293-1302 : 1999 ~
[학술지(정기간행물)] - / 2001. / Identification of fuzzy models with the aid of evolutionary data granulation 148 : 406 ~ 418
[학술지(정기간행물)] - / 2002. / Hybrid identification of fuzzy rule-based models International Journal of Intelligent Systems 17 : 77 ~ 103
[학술지(정기간행물)] - / 1999. / Optimization of fuzzy systems by means of GA and weighting factor pp. 789-799
[학술지(정기간행물)] - / inkorean / On-line modeling of nonlinear process systems using the adaptive fuzzy-neural networks pp. 1293-1302 : 1999 ~
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