대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

Digital 신경회로망을 위한 비선형함수의 구현

Design of Nonlinear(Sigmoid) Activation Function for Digital Neural Network

  • 김진태 (인하대학교 전자재료공학과) ;
  • 정덕진 (인하대학교 전자재료공학과)
  • Kim, Jin-Tae (Department of Electronic Materials & Devices Engineering Inha University) ;
  • Chung, Duck-Jin (Department of Electronic Materials & Devices Engineering Inha University)
  • 발행 : 1993.07.18
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초록

A circuit of sigmoid function for neural network is designed by using Piecewise Linear (PWL) method. The slope of sigmoid function can be adjusted to 2 and 0.25. Also the circuit presents both sigmoid function and its differential form. The circuits is simulated by using ViewLogic. Theoretical and simulated performance agree with 1.8 percent.

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