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

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.