摘要
针对就业问题,通过有关数据分析,运用SPSS,采取主成分分析法提取主要影响因素或指标,建立了就业人数的数学模型,分别从包含主要的经济社会指标、分行业、分地区、分就业人群角度,建立比较精确的数学模型.据国家有关决策规划对2009年及2010年上半年的就业前景进行仿真.最终结合模型与仿真结果,为提高就业人数或减少城镇登记失业率提出较好建议.
By using SPSS and analyzing relevant data, the aim is to extract several employment-affecting factors or indicators and a mathematical model of China's employ- ment population is established. This model is comparatively accurate for it includes the main economic and social indicators and it covers a variety of industries, areas and age groups. Then, based on the government's employment policies and strategies, a simulative approximation of employment rate is given in 2009 and the first two quarters of 2010. Finally, according to the mathematical model and simulations, a proposal is provided to enlarge the employment population and reduce the unemployment rate.
出处
《数学的实践与认识》
CSCD
北大核心
2010年第15期57-70,共14页
Mathematics in Practice and Theory
基金
安徽省高校省级自然科学研究项目(KJ2009B076Z)
安徽省教育厅教研项目(2007jyxm282)
关键词
就业
影响就业指标体系
灰色关联度
相关系数
神经网络预测
employment
employment-affecting indicator system
gray correlation degree correlation coefficient
neural network prediction