Research on Forecasting Model of GDP in China Based on ELM Learning Algorithm

摘要：

GDP is one of the important factors in measuring the whole economic situation and status of one country. In order to implement a better control on the macro-economy, one should make an efficient prediction of the future trend of GDP. In this paper, a good learning algorithm for the feed forward neural networks named ELM is applied to GDP prediction of China. The simulation results show that ELM learning algorithm can achieve very satisfying prediction performance with a fast learning speed.

关键词： gross domestic product extreme learning machine forecasting model

作者: RONG Mei

作者单位: School of Management, Shandong University, P.R.China, 250100 School of Economics and Management, Shandong Institute of Light Industry, Jinan, P.R.China,250353

会议类型: 国际会议

会议名称: The 3rd International Institute of Statistics & Management Engineering Symposium(2010 国际统计与管理工程研讨会 IISMES)

会议地点: 威海

会议语种:英文

页码: 132-135

在线出版日期: 2010-07-24（万方平台首次上网日期，不代表论文的发表时间）