The prediction research on the vehicles for business transport of Guangxi in Chin with the GMDH algorithm method

摘要：

This paper uses GMDH method to establish a prediction model to forecast the vehicles for business transport of Guangxi in China, since the original samples of the output value of transport&storage of Guangdong are less enough to be used with the traditional methods. Compared with traditional linear regression and artificial neural network, the predicted results show that GMDH method is an effective way to predict car ownership with a small sample of history data in the complex economic system.

关键词： GMDH data mining vehicles for business transport

作者: Zhi-gao Liao Wen-fang Liu Gui-yun Xiang

作者单位: Management Department Guangxi University of Technology Liuzhou, Guangxi Finance Department Guangxi University of Technology Liuzhou, Guangxi

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 36-38

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）