首页 | 本学科首页   官方微博 | 高级检索  
     

基于神经网络的自适应滤波技术
引用本文:童爱红,项楚恒.基于神经网络的自适应滤波技术[J].数字通信,1996,23(4):19-21,25.
作者姓名:童爱红  项楚恒
作者单位:解放军电子工程学院,南京通信工程学院无线工程系
摘    要:本文在Hopfield神经网络和TH线性优化网络的茂盛耻,提出了自适应滤波算法的神经网络实现,理论和计算机模拟均表明该算法的神经网络硬件实现,将大大提高自适应滤波器的时效性。

关 键 词:神经网络  自适应滤波  LMS算法  LS算法

Self-Adaptive Filtering Technology Based on Nerve Network
Tong Aihong,Xiang Chuhuan,Tuo Xiongwei.Self-Adaptive Filtering Technology Based on Nerve Network[J].Digital Communication,1996,23(4):19-21,25.
Authors:Tong Aihong  Xiang Chuhuan  Tuo Xiongwei
Affiliation:Tong Aihong;Xiang Chuhuan;Tuo Xiongwei
Abstract:On the basis of Hopfield nerve network and TH linear optimal network,we present the self-adaptive filtering algorithm(LMS algorithm and LS algorithm)through nerve network.Relevant theories and computer simulation show that this algorithm through nerve network hardware willgreatly improye the timeliness of the self-adaptive filter.
Keywords:nerve network  self-adaptive filtering  LMS algorithm  LS algorithm  
本文献已被 CNKI 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号