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基于前向神经网络的非线性平滑滤波器设计研究
引用本文:盛守照,王道波,黄向华.基于前向神经网络的非线性平滑滤波器设计研究[J].中国空间科学技术,2005,25(2):22-25,33.
作者姓名:盛守照  王道波  黄向华
作者单位:南京航空航天大学,南京,210016
基金项目:航空基金资助项目(01C52015)
摘    要:文章阐述了基于前向神经网络的非线性平滑滤波器的设计问题,分析了上述平滑滤波器的存在性及其滤波误差方差的组成,给出了有限观测序列下网络学习的性能指标,由此提出了一种次优网络学习算法,它具有很好的抑制白噪声能力。

关 键 词:前向神经网络  平滑滤波器  非线性  设计研究  网络学习算法  设计问题  误差方差  性能指标  观测序列  存在性  白噪声

Research on Design of Nonlinear Smoothing Filter Based on Feedforward Neural Networks
Sheng Shouzhao,Wang Daobo,Huang Xianghua.Research on Design of Nonlinear Smoothing Filter Based on Feedforward Neural Networks[J].Chinese Space Science and Technology,2005,25(2):22-25,33.
Authors:Sheng Shouzhao  Wang Daobo  Huang Xianghua
Abstract:The design of nonlinear smoothing filter based on feedforward neural networks is discussed. The existence of the nonlinear smoothing filter and the composition of filter error variance are analyzed theoretically. The target function for training networks is given, then a new suboptimal algorithm for training networks is proposed, which has good noise suppression capability. Its reliability and advantage are illustrated through an example.
Keywords:Feedforward neural networks  Nonlinearity  Smoothing filter  Spacecraft
本文献已被 CNKI 维普 万方数据 等数据库收录!
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