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基于免疫算法的RBF神经网络盲均衡算法
引用本文:白伟.基于免疫算法的RBF神经网络盲均衡算法[J].山西师范大学学报,2014(1):33-37.
作者姓名:白伟
作者单位:太原广播电视大学,山西太原030002
摘    要:本文采用免疫算法来优化RBF神经网络,得到一种更加优化、更加合理的混合算法,即免疫神经网络,并将此算法用于盲均衡器的优化设计,MATLAB仿真实验结果表明,经此算法优化后的盲均衡器,其均衡效果显著提高.

关 键 词:盲均衡  神经网络  免疫算法  仿真

The RBF Neural Network Blind Equalization Algorithm Based on Immune Algorithm
BAI Wei.The RBF Neural Network Blind Equalization Algorithm Based on Immune Algorithm[J].Journal of Shanxi Teachers University,2014(1):33-37.
Authors:BAI Wei
Institution:BAI Wei ( Taiyuan Radio and Television University, Taiyuan 030002, Shanxi, China)
Abstract:In this paper, the immune algorithm is used to optimize the RBF network, a more reasonable and optimized hybrid algorithm, viz. the immune neural network is got. And this algorithm is used for optimal design of blind equalizer. By the MATLAB simulation, the experimental results show that the equilibrium effect of blind equalization algorithm optimized by immune algorithm is significant improved.
Keywords:blind equalization  neural network  immune algorithm  simulation
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