[1]苏金泷,戴在平.模糊神经网络的极点配置自校正滤波器[J].华侨大学学报(自然科学版),2004,25(3):310-314.[doi:10.3969/j.issn.1000-5013.2004.03.021]
　Su Jinlong,Dai Zaiping.A Self-Corrected Filter Based on Fuzzy Neural Network and Pole Allocation[J].Journal of Huaqiao University(Natural Science),2004,25(3):310-314.[doi:10.3969/j.issn.1000-5013.2004.03.021]
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模糊神经网络的极点配置自校正滤波器()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第25卷
期数:
2004年第3期
页码:
310-314
栏目:
出版日期:
2004-07-20

文章信息/Info

Title:
A Self-Corrected Filter Based on Fuzzy Neural Network and Pole Allocation
文章编号:
1000-5013(2004)03-0310-05
作者:
苏金泷; 戴在平
华侨大学信息科学与工程学院; 华侨大学信息科学与工程学院 福建泉州362021; 福建泉州362021
Author(s):
Su Jinlong;  Dai Zaiping
College of Info. Sci. & Eng., Huaqiao Univ., 362021, Quanzhou, China
关键词:
神经网络;  模糊理论;  极点配置;  图像去噪
Keywords:
neural network;  fuzzy theory;  pole allocation;  image denoising
分类号:
TN713
DOI:
10.3969/j.issn.1000-5013.2004.03.021
文献标志码:
A
摘要:
将模糊Hopfield神经网络应用于间接自校正滤波器设计,提出用一阶Taylor逼近神经元输出作为参数估计的方法 .将模糊Hopfield神经网络应用于自校正滤波中,并将该滤波器设计方法应用于图像去噪,得到了较满意的滤波结果 .表明使用模糊Hopfield网络极点配制自校正控制方法的滤波器设计有较好的实用性 .
Abstract:
The fuzzy Hopfield neural network is applied to the design of a indirectly self corrected filter, and the first order Taylor approximate neuron output is taken as the method of parameter estimation. Moreover, the fuzzy Hopfield neural network is applied to self corrected filtration; and the design method of this filter is applied to image denoising, which results in a fairly satisfactory filtration. The results indicate that it is fairly practical to design a filter by using self corrected control method based on fuzzy Hopfield network and pole allocation.

参考文献/References:

[1] Castillo-Valdivieso P A, Merelo J J, Prieto A. Fuzzy kernel perception [J]. IEEE Transactions on Neural Networks, 2002(6):1364-1373.doi:10.1109/TNN.2002.804311.
[2] Castillo O, Melin P. Hybrid intelligent systems for time series prediction using nerual networks, fuzzy logic, and fractal theory [J]. IEEE Transactions on Neural Networks, 2002(6):1395-1408.
[3] 陈伯成, 王友平, 李英杰. 用Hopfield网络求LS法的损失函数及辨识参数 [J]. 清华大学学报(自然科学版), 1997(6):1-4.
[4] 张军英, 许进, 保铮. Hopfield网的关联 [J]. 分析自动化学报, 1997(4):446-454.
[5] Astrom K J, Wittenmark B. Self-tuning controllers based on pole-zeroplacement [J]. IEEE Proceedings-D, 1990(3):120-130.

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更新日期/Last Update: 2014-03-23