Adaptive Learning Circuit of Neural Network applying the MFSFET device

MFSFET 소자를 이용한 뉴럴 네트워크의 적응형 학습회로

  • 이국표 (인하대학교 전자재료공학과) ;
  • 강성준 (여수대학교 반도체 응용물리학과) ;
  • 윤영섭 (인하대학교 전자재료공학과)
  • Published : 2000.06.01

Abstract

The adaptive learning circuit is designed the basis of modeling of MFSFET (Metal-Ferroelectric-Semiconductor FET) and the numerical results is analyzed. The output frequency of the adaptive learning circuit is inversely proportioned to the source-drain resistance of MFSFET and the capacitance of the circuit. The output frequency modulation of the adaptive learning circuit is investigated by analyzing the source-drain resistance of MFSFET as functions of imput pulse numbers in the adaptive learning circuit and the dimensionality factor of the ferroelectric thin film. From the results, the frequency modulation characteristics of the adaptive learning circuit, that is, adaptive learning characteristics which means a gradual frequency change of output pulse with the progress of input pulse are confirmed.

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