적응 FNN의 자기 검출에 관한 연구

A Study of Adaptive FNN for Detect Magnetic Sensor

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.