Chaos optimization SVR algorithm with application in prediction of regional logistics demand

Authors:
Haiyan Yang;Yongquan Zhou;Hongxia Liu
Affiliations:
College of Mathematics and Computer Science Guangxi University for Nationalities, Guangxi, China;College of Mathematics and Computer Science Guangxi University for Nationalities, Guangxi, China;College of Mathematics and Computer Science Guangxi University for Nationalities, Guangxi, China
Venue:
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part II
Year:
2010

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Abstract

In this paper we explore using the support vector regression (SVR) based on the statistics-learning theory of structural risk minimization for the regional logistics demand. Aiming at the blindness of man made choice of parameter and kernel function of SVR, we apply a chaos optimization method to select parameters of SVR. The proposed approach is used for forecasting logistics demand of Shanghai, The experimental results show that the above method obtained lesser training relative error and testing relative error.