A Modified Hopfield Network and It's application to the Layer Assignment

Hopfield 신경 회로망의 개선과 Layer Assignment 문제에의 응용

  • 김규현 (서울대 대학원 컴퓨터공학과) ;
  • 황희영 (서울대 공대 컴퓨터공학과) ;
  • 이종호 (인하대 공대 전기공학과)
  • Published : 1991.02.01

Abstract

A new neural network model, based on the Hopfield crossbar associative network, is presented and shown to be an effective tool for the NP-Complete problems. This model is applied to a class of layer assignment problems for VLSI routing. The results indicate that this modified Hopfield model, improves stability and accuracy.

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