A discrete competitive Hopfield neural network for cellular channel assignment problems

Jiahai Wang; Zheng Tang; Xinshun Xu; Yong Li

doi:10.1016/j.neucom.2004.08.007

A discrete competitive Hopfield neural network for cellular channel assignment problems

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

^*Corresponding author for this work

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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 language	English
Pages (from-to)	436-442
Number of pages	7
Journal	Neurocomputing
Volume	67
Issue number	1-4 SUPPL.
DOIs	https://doi.org/10.1016/j.neucom.2004.08.007
State	Published - 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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10.1016/j.neucom.2004.08.007

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title = "A discrete competitive Hopfield neural network for cellular channel assignment problems",

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.",

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AU - Tang, Zheng

AU - Xu, Xinshun

AU - Li, Yong

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N2 - 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.

AB - 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.

KW - Channel assignment problem

KW - Discrete competitive Hopfield neural network

KW - Stochastic dynamics

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A discrete competitive Hopfield neural network for cellular channel assignment problems

Abstract

Keywords

ASJC Scopus subject areas

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