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| 基于经验模态分解与神经网络的信号预测 | |
| 引用本文： | 王勇,杨晶,张立辉,张红娟.基于经验模态分解与神经网络的信号预测[J].大地测量与地球动力学,2011,31(6):121-123. |
| 作者姓名： | 王勇 杨晶 张立辉 张红娟 |
| 作者单位： | 1. 河北省地震工程研究中心,唐山,063009 2. 河北联合大学矿业工程学院,唐山,063009 3. 中国地质大学长城学院,保定,071000 |
| 基金项目： | 河北省自然科学基金，中国博士后科学基金 |
| 摘 要： | 利用经验模态分解在处理非线性、非平稳信号以及人工神经网络可以较好地处理非线性问题的优点,通过经验模态分解把加入噪声的仿真信号分解成几个本征模态函数分量和一个趋势项,在分解过程中采用两种方法处理端点效应问题,结果表明两种方法都能很好的解决端点问题,然后对每个分量分别运用径向基函数神经网络进行预测,并重构出最后的预测结果.... |
| 关 键 词： | 经验模态分解 端点问题 RBF神经网络 本征模态函数 非线性 |
ANALYSIS OF SIGNAL PREDICTION BASED ON EMD AND ANN |
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| Wang Yong,Yang Jing,Zhang Lihui,Zhang Hongjuan.ANALYSIS OF SIGNAL PREDICTION BASED ON EMD AND ANN[J].Journal of Geodesy and Geodynamics,2011,31(6):121-123. | |
| Authors: | Wang Yong Yang Jing Zhang Lihui Zhang Hongjuan |
| Institution: | 1)Earthquake Engineering Research Center of Hebei Province,Tangshan 063009 2)College of Mining Engineering,Hebei United University,Tangshan 063009 3)Great Wall College,China University of Geosciences,Baoding 071000 |
| Abstract: | In view of that the EMD (Empirical Mode Decomposition, referred to as EMD) in dealing with non linear, non stationary signal, and artificial neural network (Artificial Neural Networks, referred to as ANN, also known as neural network) can deal better with the nonlinear problems,we propose a new way combining these two methods for dealing with the signal prediction.Firstly, by using EMD to decompose the simulation signal with noise into several IMF(Intrinsic Mode Function, referred to as IMF) components and a tendency and then in two ways to deal with the endpoint problem in the decomposition process. The results show that the two methods can be good to solve the endpoint problem, then for each component using RBF (Radial Basis Function) neural network to predict separately, and reconstruct the final prediction results. Compared with the use of neural networks to predict directly without being processed with EMD and real data, this method has a higher prediction accuracy. |
| Keywords: | EMD (Empirical Mode Decomposition) endpoint problem RBF (Radial Basis Function) neural network IMF(Intrinsic Mode Function) non linear |
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