Signal prediction based on empirical mode decomposition and artificial neural networks

被引：0
|
作者：
Wang Yong Liu Yanping and Yang Jing School of SurveyingLand Information EngineeringHenan Polytechnic UniversityJiaozuo China School of Civil EngineeringCentral South UniversityChangsha China College of Mining EngineeringHebei United UniversityTangshan China [1 ,2 ,3 ,1 ,454000 ,2 ,410075 ,3 ,63009 ]
机构：
来源：
GeodesyandGeodynamics | 2012年 / 3卷 / 01期
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暂无
中图分类号：
TN911.7 [信号处理];
学科分类号：
0711 ; 080401 ; 080402 ;
摘要：
In view of the usefulness of Empirical Mode Decomposition(EMD),Artificial Neural Networks(ANN),and Most Relevant Matching Extension(MRME)methods in dealing with nonlinear signals,we propose a new way of combining these methods to deal with signal prediction.We found the results of combining EMD with either ANN or MRME to have higher prediction precision for a time series than the result of using EMD alone.
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页码：52 / 56
页数：5
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