Title :
The Forecasting of Human Resource Supply Based on RBF Neural Network and Markov Transfer Matrix
Author_Institution :
Dept. of Electr. Inf., Henan Coll. of Eng., Zhengzhou, China
Abstract :
The forecasting of human resources supply is an important part of human resources planning. In view of the complexity and nonlinear of the human resources supply system, this paper established a new human resource supply forecasting model which used the RBF neural network to forecast the loss rate of various types of employees and used Markov transfer matrix method to forecast the supply of human resources. Through the application of the model on a human resources supply forecasting, we had proved that this method is practical and effective. The model can be used as the human resources supply forecasting.
Keywords :
Markov processes; forecasting theory; human resource management; radial basis function networks; Markov transfer matrix; RBF neural network; forecasting; human resource supply; Computational intelligence; Environmental management; Human resource management; Load forecasting; Multi-layer neural network; Neural networks; Personnel; Planning; Predictive models; Radial basis function networks; human resource supply; markov transfer matrix; neural network;
Conference_Titel :
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location :
Changsha
Print_ISBN :
978-0-7695-3865-5
DOI :
10.1109/ISCID.2009.105
