| 基于小波的多项式回归及预测 |
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| 引用本文： | 郑绪枝,杨柱元.基于小波的多项式回归及预测[J].云南民族大学学报(自然科学版),2012,21(3):182-184. |
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| 作者姓名： | 郑绪枝 杨柱元 |
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| 作者单位： | 云南民族大学数学与计算机科学学院,云南昆明,650031 |
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| 摘 要： | 采用回归分析直接处理经济数据的方法容易受到噪声影响,针对这一情况,提出先对经济数据进行小波滤波,即采用小波变换的阈值去噪方法进行预处理.再利用多项式回归分析法对预处理的数据进行拟合与预测的方法.实例表明,采用该方法得到的结果优于直接用多项式回归分析法得到的结果.此方法还可以推广到其它的经济领域中.
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| 关 键 词： | 小波变换 多项式回归 预处理 阈值去噪 |
Polynomial Regression and Prediction Based on Wavelet |
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| ZHENG Xu-zhi
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YANG Zhu-yuan.Polynomial Regression and Prediction Based on Wavelet[J].Journal of Yunnan Nationalities University:Natural Sciences Edition,2012,21(3):182-184. |
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| Authors: | ZHENG Xu-zhi YANG Zhu-yuan |
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| Institution: | 1 (School of Mathematics and Computer Science,Yunnan University of Nationalities,Kunming 650031,China) |
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| Abstract: | By regression analysis deal directly with the economic data method vulnerable to noise effects,in view of this situation,by wavelet transform the threshold denoising method preprocessing,then polynomial regression method of data for preprocessing fitting and prediction are considered.Examples show that the proposed method are better than the result directly with polynomial regression method.This method can also be extended to other economic sectors. |
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| Keywords: | wavelet analysis polynomial regression analysis pretreatment threshold denoising |
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