Evaluation of Enterprises Technological Innovation Capability Based on PCA and Support Vector Machine

摘要：

There are so many indexes which are adopted by the former researchers to evaluate technological innovation ability of the enterprise. But there are relations between the factors because its difficulty for us to set up an index system which only has independent indexes. Meanwhile, eliminating an index at discretion may reduce the evaluation accuracy of the enterprises technological innovation ability. But too many indexes will induce the complex of the computation. Thinking about the upper problems, the principal component analysis is introduced to deal with the indexes. It can form a new series of index which are independent among each other and reduce the index number. Then, the support vector machine was used to calculate the technological innovation ability of the enterprise. At last, it is validated that the results by SVM are better than other methods through an example.

关键词： Technological Innovation Capability Principal Component Analysis Support Vector Machine Combined Evaluation

作者: LI Jinying LI Jinchao

作者单位: Department of Economic Administration, North China Electric Power University, Baoding, 071000,China School of Business Administration, North China Electric Power University, Beijing, 102206, China

会议类型: 国际会议

会议名称: The Fifth InternationalSymposium on Management of Technology(ISMOT07)(第五届技术与创新管理国际研讨会)

会议地点: 杭州

会议语种:英文

页码: 235-238

在线出版日期: 2007-06-01（万方平台首次上网日期，不代表论文的发表时间）