The Prediction Model of Shandong Service Industry based on Improved ELM-RBF Learning Algorithm

被引：0

作者：

Guo Shubing ^{[1
]}

Rong Mei ^{[2
]}

机构：

[1] Shandong Tobacco Monopoly Adm, Jinan 250101, Peoples R China

[2] Shandong Polytech Univ, Sch Business, Jinan 250353, Peoples R China

来源：

RECENT ADVANCE IN STATISTICS APPLICATION AND RELATED AREAS, PTS 1 AND 2 | 2011年

关键词：

Prediction model; Service industry; Shandong province; Neural networks;

D O I：

暂无

中图分类号：

O1 [数学]; C [社会科学总论];

学科分类号：

03 ; 0303 ; 0701 ; 070101 ;

摘要：

The accurate prediction of production value of Shandong service industry is very important, which is the basis of planning and decision making of Shandong service industry. Based on the indices of Shandong service industry and the improved ELM-RBF neural networks learning algorithm, the prediction model of Shandong service industry is proposed in this paper. The simulation result shows that the presented prediction model has the characteristics of fast learning convergence and accurate prediction performance. The prediction has a high application value for the prediction of Shandong service industry.

引用

页码：428 / +

页数：2

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