| 基于主成分BP人工神经网络的人力资本预测 |
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| 引用本文： | 於世为,诸克军. 基于主成分BP人工神经网络的人力资本预测[J]. 系统管理学报, 2006, 15(4): 339-344 |
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| 作者姓名： | 於世为 诸克军 |
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| 作者单位： | 中国地质大学(武汉)管理学院,武汉,430074 |
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| 摘 要： | 人力资本是决定地区经济增长的重要因素之一,其形成受多种因素的综合影响。通过主成分分析法将众多指标进行综合,消除样本间的信息重叠,降低BP网络的输入维数。针对人力资本系统的非线性特征,运用BP网络高度非线性映射能力,对我国各地区人力资本投资进行了预测。
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| 关 键 词： | 人力资本 主成分 BP人工神经网络 预测 |
| 文章编号： | 1005-2542(2006)04-0339-06 |
| 修稿时间： | 2005-07-06 |
Human Capital Prediction Based on the PCA-BP Artificial Neural Networks |
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| YU Shi-wei,ZHU Ke-jun. Human Capital Prediction Based on the PCA-BP Artificial Neural Networks[J]. Systems Engineering Theory·Methodology·Applications, 2006, 15(4): 339-344 |
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| Authors: | YU Shi-wei ZHU Ke-jun |
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| Abstract: | Human capital is one of important factors to decide region economic growth.Its forming is influenced by various factors.Through principal component analysis,we have synthesized numerous indexes,(eliminated) information overlapping of the sample,and reduced the input dimension of BP network.According to the nonlinear feature of human capital system,using BP network altitudinal nonlinear map,we have efficiently predicted the human capital investment of various regions in China. |
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| Keywords: | human capital principal component analysis(PCA) BP neural network prediction |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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