Stochastic 알고리즘을 이용한 Hopfield 신경회로망의 구현에 관한 연구 = On the Implementation of the Hopfield Neural Networks using the stochastic Algorithms

다국어 초록 (Multilingual Abstract)

In this paper, A digital architecture which uses stochastic logic for simulating the behavior of Hopfield neural networks is described, This stochastic architecture provides massive parallelism since stochastic logic is very space efficient and reprogrammability since synaptic weights are stored in digital shift register and large dynamic range by using either fixed or floating point weights and high execution speeds about N·108 connections per second and expandability by cascading of multiple chips to host large networks and practicality by building with CMOS device technologies.
results of simulations are given which show the stochastic architecture give results similar to those found using standard analog neural networks.

목차 (Table of Contents)

• Ⅰ.서론
• Ⅱ.Hopfield 모델
• Ⅲ.단순한 Stochastic 동작과 이론
• Ⅳ.모의실험 및 고찰
• 참고문헌(Reference)