A Multi-coding GA-BP-RBF Model for China Human Capital Prediction

摘要：

Human capital formation and accelerating economic growth is a representative complex system which is not suitable to measure and forecast by classic linear statistical approaches.This paper proposes a novel hybrid multicoding GA-BP-RBF model for China human capital prediction. The hybrid model combines the multi-encoding genetic algorithm (MGA) and the back propagation (BP) algorithm to form a hybrid learning algorithm (MGA-BP) for training Radial Basis Function Networks (RBFNs).The human capital prediction results obtained are compared with existent bibliography, showing an improvement over the published methods.

关键词： component Human cpital china region genetic algorithms radial basis function networks prediction multicoding

作者: Shiwei YU Kejun ZHU Liu Ting

作者单位: School of Economic s and Management China University of Geosciences Wuhan, P.R.China School of Resources China University of Geosciences Wuhan, P.R.China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 11-14

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）