RESEARCH ON FORECAST MODEL FOR SUSTAINABLE DEVELOPMENT OF ECONOMY-ENVIRONMENT SYSTEM BASED ON PCA AND SVM

摘要：

According to the complexity of Economy-Environment system and many environmental indicators, which influence the development of economy, we first use Principal Component Analysis (PCA) to realize the dimension reduction of the environmental indicators. Then a non-linear method-Support Vector Regression (SVR), which is a part of Support Vector machine (SVM) is used to establish the forecast model for sustainable development of Economy-Environment system based on the data which are treated by PCA. Finally experiments based on the environmental indicators and Gross Domestic Product (GDP)of Hebei province is given. The research shows that compared with neural network, SVR has simple mathematical model and high forecast precision.

关键词： Economy-Environment system Support Vector Machine Principal Component Analysis Gross Domestic Product

作者: YAN LI YOU-XI WU ZHEN-XIANG ZENG LEI GUO

作者单位: School of Management, Hebei University of Technology, Tianjin 300130,China School of Computer Science and Software, Hebei University of Technology, Tianjin 300130,China Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 3590-3593

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）