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基于免疫算法的Hopfield神经网络多用户检测器
引用本文:张颖,刘宏立,陈佳.基于免疫算法的Hopfield神经网络多用户检测器[J].电声技术,2005(11):46-48.
作者姓名:张颖  刘宏立  陈佳
作者单位:湖南大学,电气与信息工程学院,湖南,长沙,410082
摘    要:提出的基于免疫算法的Hopfield神经网络多用户检测器,将扰乱的Hopfield神经网络多用户检测器的输出作为免疫算法的初始种群,利用了免疫算法的全局收敛的特点,从而克服了Hopfield易收敛到局部能量最小点的缺点。理论分析和仿真结果表明:该检测器具有良好的抗多址干扰和抗远近效应的能力。

关 键 词:多用户检测  免疫算法  Hopfield神经网络  多址干扰  远近效应
文章编号:1002-8684(2005)11-0046-03
收稿时间:2005-06-23
修稿时间:2005年6月23日

Hopfield Neural Network Multi-User Detection Based on Immune Algorithm
ZHANG Ying,LIU Hong-li,CHEN Jia.Hopfield Neural Network Multi-User Detection Based on Immune Algorithm[J].Audio Engineering,2005(11):46-48.
Authors:ZHANG Ying  LIU Hong-li  CHEN Jia
Affiliation:College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Abstract:The Hopfield neural network multi-user detection based on immune algorithm proposed in this paper takes the disturbed output of the Hopfield neural network multi-user detection as the initial population of the immune algorithm. It takes the feature of the global convergence of the immune algorithm thus hurdled the disadvantage of Hopfield which easily converges the minimum of local energy function. Theoretical analyses and the computer simulation results show that the detection has good performances both in multiple-access interference resistance and near-far effect resistance.
Keywords:multi-user detection  immune algorithm  Hopfield neural network  multiple-access interference  near-far effect
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