基于神经网络的自适应滤波技术

Self-Adaptive Filtering Technology Based on Nerve Network

本文在Ｈｏｐｆｉｅｌｄ神经网络和ＴＨ线性优化网络的基础上，提出了自适应滤波算法（ＬＭＳ和ＬＳ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．

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.