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基于AMFNN的非线性噪声消除器
引用本文:翟东海,李力. 基于AMFNN的非线性噪声消除器[J]. 西南交通大学学报, 2004, 39(1): 112-116
作者姓名:翟东海  李力
作者单位:西南交通大学计算机与通信工程学院,四川,成都,610031
摘    要:提出基于加乘性模糊神经网络(AMFNN)的非线性噪声消除器,讨论了AMFNN模型和学习算法及其通用逼近性.该消除器利用AMFNN逼近噪声,然后从测量信号中消去噪声即得到有用信号.该噪声消除器具有神经网络分布式并行信息处理能力、较好的容错性和鲁棒性以及除噪性能.

关 键 词:神经网络 噪声控制 非线性噪声消除器 AMFNN 加乘性模糊神经网络
文章编号:0258-2724(2004)01-0112-05

Non-linear Noise Canceller Based on Additive-Multiplicative Fuzzy Neural Network
ZHAI Dong-hai,LI Li,. Non-linear Noise Canceller Based on Additive-Multiplicative Fuzzy Neural Network[J]. Journal of Southwest Jiaotong University, 2004, 39(1): 112-116
Authors:ZHAI Dong-hai  LI Li  
Abstract:A novel nonlinear noise canceller based on additive-multiplicative fuzzy neural network (AMFNN) was proposed, and its model, learning algorithm and universal approximation were discussed. In the cancellation process, AMFNN is used to approximate the noises, and the noises are cancelled to recover the useful signals. The new canceller has the advantages of neural networks, such as the ability of parallel distributed information processing, fault-tolerance and robustness, and is easy to use as a noise canceller.
Keywords:neural networks  noise elimination  non-linear noise canceller  additive-multiplicative fuzzy neural network
本文献已被 CNKI 维普 万方数据 等数据库收录!
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