An Intelligent Neuro-fuzzy Hybrid System based on New Fuzzy System

• 영문명: An Intelligent Neuro-fuzzy Hybrid System based on New Fuzzy System
• 발행기관: 한국과학기술원 인간친화 복지 로봇 시스템 연구센터
• 저자명: Young Im Cho
• 간행물 정보: 『International Journal of Assistive Robotics and Mechatronics』International Journal of Assistive Robotics and Mechatronics Vol.8 No.4, 56~61쪽, 전체 6쪽
• 주제분류: 공학 > 제어계측공학
• 파일형태: PDF
• 발행일자: 2007.12.30

영문 초록

  Researchers have proposed numerous neuro-fuzzy hybrid systems that resolve some of the problems with conventional fuzzy inference systems. From the body of research, the important issue now is the effective combination of neuro-fuzzy systems. This study proposes an effective hybrid system technique by stepwise performance evaluations. The proposed system is applied to a traditional controller to evaluate its validity. Additionally, methods that resolve several problems with traditional inference systems are explained.

목차

Abstract
1. INTRODUCTION
2. MOTIVATIONS
3. NEW METHODOLOGY OF NEURO-FUZZY HYBRID SYSTEM
4. SIMULATION RESULTS
5. CONCLUSION
REFERENCES

키워드

controller fuzzy system neural network similarity measure