Prediction of the Tourism Mobile Electronic Market Based on SVR Trained by Genetic Algorithm

被引：0

作者：

Han, Zhong Chun ^{[1
]}

Xin, Jiang ^{[1
]}

Xu, An Feng ^{[1
]}

机构：

[1] Harbin Univ Sci & Technol, Sch Management, Harbin, Heilongjiang, Peoples R China

来源：

2011 INTERNATIONAL CONFERENCE ON ECONOMIC AND INFORMATION MANAGEMENT (ICEIM 2011) | 2011年

关键词：

tourism; mobile; electronic market; support vector machine; forecasting model; genetic algorithm; SUPPORT VECTOR REGRESSION; TIME-SERIES; SEGMENTATION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Accuate prediction of the tourism market provides the decision reference for investment, management, plan of tourism project. In order to solve the problem of low forecasting accuracy of traditional prediction methods for the tourism mobile electronic market, support vector regression trained by genetic algorithm (GA-SVR) is proposed to forecast tourism mobile electronic market in the paper,where genetic algorithm is used to gain the suitable parameters of support vector regression. The tourism mobile electronic market of our country since 2001 is used as the example to establish GA-SVR prediction in ode! for the tourism mobile. electronic market. The experimental results indicate that GA-SVR has higher prediction accuracy for the tourism mobile electronic market than traditional support vector regression.

引用

页码：189 / 192

页数：4

共 7 条

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