China Human Capital Prediction Based on the PCA-BP Artificial Neural Networks

Author

Liu, Ting ; Kejun Zhu ; Yu, Shiwei

Author_Institution

Sch. of Resources, China Univ. of Geosci., Wuhan, China

Volume

1

fYear

2009

Firstpage

67

Lastpage

70

Abstract

Human capital is one of important factors to decide region economic increasing, which is influenced by various factors. Through Principal Component Analysis we can synthesize numerous indexes, eliminate information overlapping of the sample and reduce the input dimension of BP network. According to the nonlinear feature of human capital system, by using BP network altitudinal nonlinear map, we have efficiently predicted the human capital investment of various regions in China.

Keywords

backpropagation; economics; labour resources; neural nets; principal component analysis; China human capital prediction; PCA-BP artificial neural networks; backpropagation; principal component analysis; regional economics; Artificial neural networks; Computer network management; Conference management; Economic forecasting; Geology; Human resource management; Investments; Medical services; Principal component analysis; Technology management; BP neural network; Principal Component Analysis (PCA); human capital; prediction;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on

Print_ISBN

978-0-7695-3804-4

Type

conf

DOI

10.1109/ICICTA.2009.25

Filename

5287707