NDLI: Research on Freight Traffic Forecast Based on Wavelet and Support Vector Machine

Content Provider	IEEE Xplore Digital Library
Author	Bin-Sheng Liu Yi-Jun Li Zhan-Wen Xing Yu-Peng Hou Xue-Shen Sui
Copyright Year	2006
Description	Author affiliation: Sch. of Manage., Harbin Eng. Univ. (Bin-Sheng Liu; Yi-Jun Li)
Abstract	This paper first carries on the elaboration to the least squares support vector machine (LS-SVM) forecast model. Basing on the theory of wavelet frame and the condition of the SVM kernel function, a method that generates wavelet kernel function of the support vector machine is proposed. Then the Mexican Hat wavelet is been selected to construct LS-SVM kernel function and form LS-SVM model based on the wavelet kernel function (the LS-WSVM model), after that forecast freight traffic of highway by this model in China. Through the contrast of forecast result between four different kernel functions, it indicated that the model using wavelet kernel function have a higher validity than that of other kernel functions. At the same time, contrasting the results between LS-WSVM forecast and other forecast methods, it also indicated the LS-WSVM is able to increase the forecast precision. After taking the model into different areas of china, we find that the model has the higher application value
Sponsorship	IEEE Syst., Man and Cybernetics Hebei Univ.
Starting Page	2524
Ending Page	2530
File Size	234609
Page Count	7
File Format	PDF
ISBN	1424400619
DOI	10.1109/ICMLC.2006.258843
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Kernel Traffic control Predictive models Demand forecasting Machine learning algorithms Economic forecasting Technology management Engineering management Least squares methods freight traffic of highway LS-SVM wavelet frame kernel function
Content Type	Text
Resource Type	Article

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