计算机工程与科学2009，Vol.31Issue(12)：100-102,3.DOI:10.3969/j.issn.1007-130X.2009.12.030
一种混沌神经网络及其在二维局部均值估计自适应滤波中的应用
Chaotic Neural Networks and Their Application in the 2-D Adaptive Local Mean Estimation Filtering
摘要
Abstract
A mathematical model of the chaotic neural networks (CNN) with simulated annealing characteristics is proposed in this paper. The energy function of CNN and its process of searching and optimizing are given,and CNN is applied to a 2-D adaptive local mean estimation filtering algorithm. The simulation results show that CNN is suitable for 2-D adaptive filtering and has better convergence property than the Hopfield neural network.关键词
自适应滤波/神经网络/混沌神经网络/均值估计Key words
adaptive filter/neural network/chaos neural network/mean estimation分类
信息技术与安全科学引用本文复制引用
王敏,朱志宇,张冰..一种混沌神经网络及其在二维局部均值估计自适应滤波中的应用[J].计算机工程与科学,2009,31(12):100-102,3.基金项目
国防预研行业基金资助项目(2007DX028G) （2007DX028G）
