A discrete competitive Hopfield neural network for cellular channel assignment problems

Jiahai Wang*, Zheng Tang, Xinshun Xu, Yong Li

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

In this paper, we propose a discrete competitive Hopfield neural network (DCHNN) for the cellular channel assignment problem (CAP). The DCHNN can always satisfy the problem constraint and therefore guarantee the feasibility of the solutions for the CAP. Furthermore, the DCHNN permits temporary energy increases to escape from local minima by introducing stochastic dynamics. Simulation results show that the DCHNN has superior ability for the CAP within reasonable number of iterations.

Original languageEnglish
Pages (from-to)436-442
Number of pages7
JournalNeurocomputing
Volume67
Issue number1-4 SUPPL.
DOIs
StatePublished - 2005/08

Keywords

  • Channel assignment problem
  • Discrete competitive Hopfield neural network
  • Stochastic dynamics

ASJC Scopus subject areas

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

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