基于Kernel_PCA算法的中医药项目执行情况综合评估

发布时间：2018-03-07 15:03

  本文选题：Kernel_PCA算法　切入点：项目执行情况　出处：《中国卫生统计》2017年04期 　论文类型：期刊论文

【摘要】：正近年来,中央财政用于支持全国中医药事业发展的专项资金屡创历史新高,财政部等部门对中医药项目预算执行管理提出更高的要求~([1-2])。中医药项目数据并不存在直接的线性关系,应用单一指标使用的评估方法很难直接和全面反映全国中医药项目总体执行情况。Kernel_PCA算法不是一种新型算法,它是由主成分分析法(principal component analysis,PCA)进一步发展而来,可处理非线性数据,通过非线性映射将初始
[Abstract]:In recent years, the special funds used by the central government to support the development of traditional Chinese medicine have repeatedly reached record highs. The Ministry of Finance and other departments have put forward higher requirements for the implementation and management of the budget of traditional Chinese medicine projects ([1-2].) there is no direct linear relationship between the project data of traditional Chinese medicine and that of the Chinese medicine project. It is difficult to directly and comprehensively reflect the overall implementation of Chinese medicine projects by using single index. Kernel PCA algorithm is not a new algorithm. It is further developed by principal component analysis method (PCA) and can deal with nonlinear data. The initial
【作者单位】： 湖北中医药大学信息工程学院;
【基金】：湖北省教育厅人文社会科学研究项目(17Q098) 中医药项目绩效考核数据分析关键算法研究
【分类号】：O212.4;R2-0
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本文编号：1579786