会议专题

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

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 model 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.

tourism mobile electronic market support vector machine forecasting model genetic algorithm

Zhong Chun Han Jiang Xin An Feng Xu

School of Management, Harbin University of Science and Technology, Harbin, Heilongjiang, China

国际会议

2011 International Conference on Economic and Information Management(2011年经济与信息管理国际会议 ICEIM 2011)

北京

英文

189-192

2011-09-03(万方平台首次上网日期,不代表论文的发表时间)