적응 FNN의 자기 검출에 관한 연구

• 영문명: A Study of Adaptive FNN for Detect Magnetic Sensor
• 발행기관: 한국산업기술융합학회(구. 산업기술교육훈련학회)
• 저자명: 김기량(Ki-Ryang Kim)
• 간행물 정보: 『산업기술연구논문지』산업기술교육훈련논문지 제16권 4호, 207~212쪽, 전체 6쪽
• 주제분류: 공학 > 공학일반
• 파일형태: PDF
• 발행일자: 2011.12.30

영문 초록

Intelligent control algorithms used in this paper is used to detect the Earth s magnetic field is applied to a system that determines the direction of learning and reasoning skills will prove. Intelligent control system mathematical modeling of the system is complex, uncertain and ambiguous conditions, the system is suitable for application. The characteristics of intelligent control systems utilize empirical knowledge of experts believe that the reasoning ability and ability to learn is that the system contains. As a representative system of intelligent algorithm, fuzzy logic control systems and neural network algorithms have. Magnetic energy is the ability to detect magnetic sensor, magnetic energy is converted into electrical signals it detects. Using self-transformation work magnetoresistance effect element is an MR devices, MR devices as e-Inductive magnetic sensor in the output voltage differential, and the temporal variation is proportional to the magnetic lines of force. Distortion of the hardware elements of the cause if possible, to reduce the adaptive algorithm, fuzzy logic decision algorithm using the neural network FNN algorithm is proposed.

목차

Ⅰ. 서 론

Ⅱ. 실 험

Ⅲ. 실험결과 및 고찰

Ⅳ. 결 론

키워드

Intelligent Control Algorithms(지능제어알고리즘) MR Devices(자기저항소자) Fuzzy Logic(퍼지 논리) FNN(퍼지-뉴럴 네트워크) Neural Network(신경회로망)