A Wavelet Kernel-Based Primal Twin Support Vector Machine for Economic Development Prediction

doi:10.1155/2013/875392

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	A Wavelet Kernel-Based Primal Twin Support Vector Machine for Economic Development Prediction
	Su, Fang ; Shang, HaiYang
	2013
发表期刊	MATHEMATICAL PROBLEMS IN ENGINEERING
卷号	2013
摘要	Economic development forecasting allows planners to choose the right strategies for the future. This study is to propose economic development prediction method based on the wavelet kernel-based primal twin support vector machine algorithm. As gross domestic product (GDP) is an important indicator to measure economic development, economic development prediction means GDP prediction in this study. The wavelet kernel-based primal twin support vector machine algorithm can solve two smaller sized quadratic programming problems instead of solving a large one as in the traditional support vector machine algorithm. Economic development data of Anhui province from 1992 to 2009 are used to study the prediction performance of the wavelet kernel-based primal twin support vector machine algorithm. The comparison of mean error of economic development prediction between wavelet kernel-based primal twin support vector machine and traditional support vector machine models trained by the training samples with the 3-5 dimensional input vectors, respectively, is given in this paper. The testing results show that the economic development prediction accuracy of the wavelet kernel-based primal twin support vector machine model is better than that of traditional support vector machine.
关键词	Support vector machines Economic and social effects Vectors Quadratic programming Gross domestic products Prediction accuracy Prediction methods Prediction performance Quadratic programming problems Support vector machine algorithm Support vector machine models Twin support vector machines
DOI	10.1155/2013/875392
收录类别	SCI ; EI ; SCOPUS ; SCIE ; SSCI
ISSN	1024-123X
语种	英语
WOS研究方向	Engineering ; Mathematics
WOS类目	Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications
WOS记录号	WOS:000323964800001
出版者	HINDAWI LTD
EI入藏号	20133916771770
EI主题词	Forecasting
原始文献类型	Journal article (JA)
EISSN	1563-5147
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/2671
专题	科技处
作者单位	1.Lanzhou Univ Technol, Coll Econ, Lanzhou 730050, Peoples R China; 2.Lanzhou Univ Finance & Econ, Lanzhou 730050, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Su, Fang,Shang, HaiYang. A Wavelet Kernel-Based Primal Twin Support Vector Machine for Economic Development Prediction[J]. MATHEMATICAL PROBLEMS IN ENGINEERING,2013,2013.
APA	Su, Fang,&Shang, HaiYang.(2013).A Wavelet Kernel-Based Primal Twin Support Vector Machine for Economic Development Prediction.MATHEMATICAL PROBLEMS IN ENGINEERING,2013.
MLA	Su, Fang,et al."A Wavelet Kernel-Based Primal Twin Support Vector Machine for Economic Development Prediction".MATHEMATICAL PROBLEMS IN ENGINEERING 2013(2013).