人才环境及基于神经网络的陕西经济发展预测模型研究  

Human Resource Environment and Neural Networks-Based Economic Development Forecast Model in Shaanxi Province

作　　者：李朋林[1] 

机构地区：[1]西安科技大学管理学院

出　　处：《管理学报》2008年第5期733-736,750,共5页Chinese Journal of Management

基　　金：国家自然科学基金资助项目(90410014);陕西省教育厅人文社科基金资助项目(04JK061)

摘　　要：利用多层前馈神经网络的反传算法(BP算法),在建立陕西人才环境评价指标体系的基础上,采用MATLAB软件建立了人才环境与经济发展关系的神经网络模型,映射出各年人才环境指标与人均GDP指标之间的函数关系,此BP神经网络可以成功地根据陕西人才环境指标对经济发展进行预测。Back propagation algorithm of a multiplayer feed forward neural network, BP algorithm, was used. The evaluation indexes system for talent environment in Shanxi Province is designed. The neural network model for showing the relation between talent environment and economic development is constructed by MAT LAB. The relationship between the talent environment indexes and per GDP is mapped. It is seen that this neural network can be used to forecast the situation of economic development according to talent environment indexes in Shaanxi Province.

关 键 词：人才环境 经济发展 评价指标 神经网络 预测 

分 类 号：C93[经济管理—管理学]