A LS-SVM Model for Describing and Forecasting Regional Innovation Capability among Thirty-one Provinces in China

摘要：

Based on the innovation capacity data of 31 provincial level regions in China during 2003-2005, firstly we use the methods of principal component analysis and cluster to quantitatively study Chinas 31 provincial-level regions innovation capacity. Then we use the least square support vector machine (LS-SVM) method to construct the predictive regional innovation capacity model.

关键词： Regional Innovation Capacity Principal Component Analysis LS-SVM

作者: WU Ziku

作者单位: School of science, Qingdao agriculture university, P.R.China, 266109

会议类型: 国际会议

会议名称: 2008年国际应用统计学术研讨会(2008 International Institute of Applied Statistics Studies)

会议地点: 烟台

会议语种:英文

页码: 1-6

在线出版日期: 2008-08-14（万方平台首次上网日期，不代表论文的发表时间）