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基于递归对角神经网络自适应均衡算法的研究
引用本文:张立毅,陈莎莎,孙静,李俊锋,吴佳明,孙云山,刘婷.基于递归对角神经网络自适应均衡算法的研究[J].天津商学院学报,2007,27(3):1-3.
作者姓名:张立毅  陈莎莎  孙静  李俊锋  吴佳明  孙云山  刘婷
作者单位:天津商学院信息工程学院 天津300134
基金项目:天津商学院SRT资助课题
摘    要:阐述了神经网络自适应均衡算法的基本原理,提出了一种基于递归对角神经网络的自适应均衡算法,推导了算法的迭代公式,进行了计算机仿真。结果表明,随着传输信号信噪比的增加,稳态剩余误差减小,误码率降低。

关 键 词:自适应均衡算法  递归对角神经网络  代价函数  传递函数
文章编号:1001-0262(2007)03-0001-03
修稿时间:2006-12-20

Research on Adaptive Equalization Algorithm Based on Diagonal Recurrent Neural Network
ZHANG Li-yi,CHEN Sha-sha,SUN Jing,LI Jun-feng,WU Jia-ming,SUN Yun-shan,LIU Ting.Research on Adaptive Equalization Algorithm Based on Diagonal Recurrent Neural Network[J].Journal of Tianjin University of Commerce,2007,27(3):1-3.
Authors:ZHANG Li-yi  CHEN Sha-sha  SUN Jing  LI Jun-feng  WU Jia-ming  SUN Yun-shan  LIU Ting
Institution:School of Information Engineering, Tianjin University of Commerce,Tianjin 300134, China
Abstract:This paper expatiates on the principle of adaptive neural network equalization algorithm.An adaptive equalization algorithm based on diagonal recurrent neural networks(DRNN)is proposed.Iteration formula is reduced and the algorithm is simulated by Matlab.The simulation shows that residual error and BER are reduced along with augment of SNR.
Keywords:adaptive equalization algorithm  diagonal recurrent neural networks  cost function  transfer function
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