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퍼지신경회로망의 열전도도 추론에 의한 재질인식센서의 개발
임영철,박진규,류영재,위석오,박진수 ( Young Cheol Lim,Jin Kyu Park,Young Jae Ryoo,Seog O Wi,Jin Soo Park ) 한국센서학회 1996 센서학회지 Vol.5 No.2
This paper describes a system that can be used to recognize unknown materials regardless of the change in ambient temperature by using temperature response curve fitting and fuzzy neural network(FNN). There are problems with a recognition system which utilize temperature responses. It requires too many memories to store the vast temperature response data and it has to be filtered to remove the noise which occurs in experiments. Thus, this paper proposes a practical method using curve fitting to remove the above problems of memories and noise. Also, the FNN is proposed to overcome the problem caused by the change of ambient temperature. Using the FNN which is learned by temperature responses on fixed ambient temperatures and known thermal conductivity, the thermal conductivity of the material can be inferred on various ambient temperatures. So the material can be recognized via its thermal conductivity.