摘要
该文运用多元统计分析方法 ,通过建立优化准则 ,对地区科技进步统计监测模型进行了降维优化处理。经检验 ,降维后的新指标体系对原指标体系具有良好的替代性 ,从而给出在综合评价中经常遇到的由大量指标构成的模型进行优化的一种方法。该方法有助于提高综合评价建模的科学性。
In this article, dimension reduction optimization treatment has been made to accounting and monitoring model on regional scientific and technology progress by using the multiple element accounting and analysis method and establishing the criteria for optimization. Tests show that the new parameter system after dimension reduction can well substitute the original parameter system, thus providing a method to optimize models consisting of large number of parameters, which are frequently encountered in comprehensive evaluation. This method can help to make the modeling for comprehensive evaluation more scientific and simple, and also increase its operability in practical application.
出处
《南京理工大学学报》
EI
CAS
CSCD
北大核心
2003年第3期305-309,共5页
Journal of Nanjing University of Science and Technology
关键词
聚类分析
科技进步
统计
监测
优化
cluster analysis,scientific and technological progress,accounting,monitoring,optimization
