| 基于改进的RBF模糊神经网络滤波的噪声消除 |
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| 引用本文： | 罗俊海,李录明,叶丹霞,周怀来.基于改进的RBF模糊神经网络滤波的噪声消除[J].系统仿真学报,2007,19(21):4918-4921,4925. |
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| 作者姓名： | 罗俊海 李录明 叶丹霞 周怀来 |
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| 作者单位： | 1. 电子科技大学计算机科学与工程学院,四川,成都,610054
2. 成都理工大学信息工程学院,四川,成都,610059 |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | 改进RBF模糊神经网络前件和后件的结构和学习算法，克服了RBF模糊神经网络模糊规则冗余的缺点。利用该系统对舍噪声的非线性信号逼近，达到消除噪声的目的。同时，应用该系统对地震信号进行滤波处理仿真，结果表明改进后的RBF模糊神经网络具有学习算法简单，计算量小，实时性好，而且能有效地抑制噪声。
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| 关 键 词： | 模糊神经网络 滤波 噪声 非线性信号 逼近 |
| 文章编号： | 1004-731X（2007）21-4918-04 |
| 收稿时间： | 2006-08-29 |
| 修稿时间： | 2006-08-292007-01-23 |
Noise Cancellation Based on Improved RBF Fuzzy Neural Network Filtering |
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| LUO Jun-hai,LI Lu-ming,YE Dan-xia,ZHOU Huai-lai.Noise Cancellation Based on Improved RBF Fuzzy Neural Network Filtering[J].Journal of System Simulation,2007,19(21):4918-4921,4925. |
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| Authors: | LUO Jun-hai LI Lu-ming YE Dan-xia ZHOU Huai-lai |
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| Institution: | 1.School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054; 2.College of Information Engineering, Chengdu University of Technology, Chengdu 610059, China |
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| Abstract: | The structure and learning algorithm of the antecedent and subsequent network were improved to overcome the shortcoming of redundant fuzzy rule.Based on the approximation of nonlinear noise signal,the system could get to noise cancellation.At one time,it was applied to the filter processing of seismic signal,and simulation results testified the improved RBF fuzzy neural network's nature of learning algorithm simplicity,a little quantity in its calculation and good for processing in real-time.It is shown that the filter is good for restraining noise with improved RBF fuzzy neural network. |
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| Keywords: | fuzzy neural network filtering noise nonlinear signal approximation |
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