A Neural Network Based Regional Economy Early Warning System

摘要：

Regional economy early warning system theory is using a set of supervising,assessing and forecasting index to calculate the tendency of regional economic market on the basis of its cycle research.Contrasted with the traditional eady warning theories,the neutral network owns advantages on optimization,function approaching,model reorganization,self-study and self-adaptation.In this paper,an early warning model,which combines BP neutral network with principal component analysis(PCA),is presented to enhance the exact rate of early warning judgment on the economic distress.At last,the model is used to carry early warning analysis on Jiangmen,Guangdong,China regional economy The favor results show that BP neural network is very applicable to the foundation of regional economy earlywarning system.

关键词： Early warning system BP neural network Principal component analysis Regional economy Warning degree

作者: Zhu Bangzhu Lin Jian

作者单位: School of Management,Wuyi University,P.R.China,529020

会议类型: 国际会议

会议名称: 2006 International Conference on Management Science and Engineering(2006管理科学与工程国际学术研讨会)

会议地点: 武汉

会议语种:英文

页码: 126-130

在线出版日期: 2006-11-08（万方平台首次上网日期，不代表论文的发表时间）