Strategic planning for scientific and technological human resource based on BP neural network

Authors:
Ge Lei;Dai Feng;Wang Chunxin;Zhai Dongkai;Zhang Yong
Affiliations:
Department of Management Science, Information Engineering College, Zhengzhou;Department of Management Science, Information Engineering College, Zhengzhou;Department of Management Science, Information Engineering College, Zhengzhou;Department of Management Science, Information Engineering College, Zhengzhou;Department of Management Science, Information Engineering College, Zhengzhou
Venue:
ICNC'09 Proceedings of the 5th international conference on Natural computation
Year:
2009

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Abstract

Based on the existing theory of intelligent prediction, this paper applies back-propagation (BP) neural network to combine a variety of intelligent forecasting model, and uses back-propagation algorithm to determine the weight of combination model, which makes the model approach the development trend of things. Last, the author applies the intelligent combination model to forecast the quantity increase of science and technology staffs. The conclusion shows that: The combination of intelligent prediction model based on BP neural network can greatly improves the forecast accuracy, better than a single model and linear combination.