摘要
为了提高公立医院工资自动核算能力,研究基于混合架构的公立医院工资自动核算算法优化。构建大数据分析模型,结合统计序列分析方法进行信息融合和特征挖掘,提取工资信息的模糊特征量;建立公立医院工资信息融合和统计分析模型,结合混合架构方法进行自动融合和特征优化挖掘,提取差异性特征量;建立公立医院工资信息评估的面板参数分析模型,进行工资信息预测和参数特征融合。在嵌入式体系下进行公立医院工资自动核算的混合构架分析,实现自动核算优化。仿真结果表明,本文优化方法稳定性较好,信息处理能力较强。
In order to improve the ability of automatic wage accounting in public hospitals,the optimization of automatic wage accounting algorithm for public hospitals based on hybrid architecture is researched.It builds big data analysis model,combines statistical sequence analysis method to carry out information fusion and feature mining,extracts fuzzy characteristic quantity of wage information;establishes public hospital wage information fusion and statistical analysis model,combines with hybrid architecture method for automatic fusion and feature optimization mining,extracts differential characteristic quantity;establishes panel parameter analysis model of public hospital wage information evaluation.The model is used for wage information prediction and parameter feature fusion.In order to optimize the design of the automatic accounting system of public hospitals,the hybrid framework of automatic wage accounting in public hospitals is analyzed under the embedded system.The simulation results show that the optimization method in this paper has good stability and strong information processing ability.
作者
郑蒙蒙
ZHENG Meng-meng(The 7th People's Hospital of Zhengzhou,Zhengzhou 450000 China)
出处
《自动化技术与应用》
2022年第5期65-67,79,共4页
Techniques of Automation and Applications
关键词
混合架构
核算算法优化
特征挖掘
差异性特征量
统计分析
hybrid architecture
accounting algorithm optimization
feature mining
differential feature quantity
statistical analysis