| 人口时间序列的支持向量机预测模型 |
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| 引用本文： | 刘崇林.人口时间序列的支持向量机预测模型[J].宁夏大学学报(自然科学版),2006,27(4):308-310. |
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| 作者姓名： | 刘崇林 |
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| 作者单位： | 宁夏大学,数学计算机学院,宁夏,银川,750021 |
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| 摘 要： | 阐述了支持向量机在时间序列预测中应用的理论基础，建立了人口时间序列的支持向量机预测模型．计算结果表明，无论是在拟合过程还是在预测过程，支持向量机方法都具有很高的计算精度．因此，采用支持向量机方法对人口时间序列进行预测分析是可行的．
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| 关 键 词： | 人口预测 时间序列 支持向量机 模型 |
| 文章编号： | 0253-2328（2006）04-0308-03 |
| 收稿时间： | 2005-11-15 |
| 修稿时间： | 2005年11月15 |
Predicted Model of the Population Time Series Using Support Vector Machines |
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| Liu Chonglin.Predicted Model of the Population Time Series Using Support Vector Machines[J].Journal of Ningxia University(Natural Science Edition),2006,27(4):308-310. |
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| Authors: | Liu Chonglin |
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| Institution: | School of Mathematics and Computer Science, Ningxia University, Yinehuan 750021, China |
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| Abstract: | Firstly,the theoretical basis of support vector machine(SVM) in time series forecasting is described in detail.Then,a SVM predicted model of the population time series is constructed.The calculated results show that the computational accuracy of SVM is high whatever on the state of machine leaning or prediction.So,using support vector machines to predict the population time series is reliable and promising. |
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| Keywords: | population prediction time series support vector machine model |
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