가스 식별 시스템 설계를 위한 유전알고리즘과 퍼지시스템 적용에 관한 연구

• 영문명: A Study on the Application of Genetic Algorithms and Fuzzy System to GAS Identification System
• 발행기관: 강원대학교 산업기술연구소
• 저자명: 방영근(Bang, Young-Keun) 조해파(Zhao Haibo) 이철희(Lee, Chul-Heui)
• 간행물 정보: 『산업기술연구』vol.31, 45~50쪽, 전체 6쪽
• 주제분류: 공학 > 공학일반
• 파일형태: PDF
• 발행일자: 2011.09.30

영문 초록

Recently, machine olfactory systems that have been proposed as an artificial substitute of the human olfactory system are being studied by many researchers because they can scent dangerous gases and identify the type of gases in contamination areas instead of the human. In this paper, we present an effective design method for the gas identification system. The design method adopted the sequential combination between genetic algorithms and TSK fuzzy logic system. First, the proposed method allowed the designed gas identification system effectively performing the pattern analysis because it was able to avoid the curse of dimensionality caused by use of a large number of sensors. Secondly, the method led the gas identification system to good performance because it was able to deal with drift characteristics of the sensor data by using description ability of the fuzzy system for nonlinear data. In simulation, we demonstrated the effectiveness of the designed gas identification system by using the simulation results of five types of gases.

목차

1. 서론

2. 제안된 식별 시스템의 구조

3. 식별 시스템의 설계

4. 시뮬레이션

5. 결론

키워드

후각 시스템 유전알고리즘 유동성 퍼지시스템 olfactory system genetic algorithms drift characteristic fuzzy system