A Neuron-Weighted Learning Algorithm and its Hardware Implementation in Associative Memories

  • Authors:
  • Tao Wang;Xinhau Zhuang;XiaoLiang Xing;Xipeng Xiao

  • Affiliations:
  • -;-;-;-

  • Venue:
  • IEEE Transactions on Computers
  • Year:
  • 1993

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Abstract

A novel learning algorithm for a neuron-weighted associative memory (NWAM) is presented. The learning procedure is cast as a global minimization, solved by a gradient descent rule. An analog neural network for implementing the learning method is described. Some computer simulation experiments are reported.