The Prediction Of Human Resource Demand In Scale Of The Enterprise Base Grey BP Neural Network

Establish a scientific and effective human resource demand forecasting model in corporate human resources management, the use of demand forecasting method, not only to meet the needs of the enterprise in the development of human resources, but also provide a valid basis for corporate human resources planning, human resources management good to play a role for the realization of corporate objectives. Research on human resources pre-forecast demand, both domestic and foreign scholars involved in a lot of different prediction methods have their own unique advantages. Gray BP neural network prediction method as a quantitative human resource needs, has the ability to approximate nonlinear functions effectively, can play an important role in the prediction of the future of human resources discontinuous change, so has great application prospects.Gray BP neural network demand forecasting methods as a combined forecast method is a combination of gray forecast and BP neural network forecasting based on gray system over the use of the BP neural network model of a comprehensive. This prediction method combines the advantages of the gray system model of data processing, the internal laws of disorganized data mining, which provide some convenience to predict; highlights the advantages of BP neural network structure model by linearization The mapping and sample data processing, the input and output reflects a correlation, thus changing the fault tolerance of the information, and speculated that a more accurate calculation process. Therefore,, during scale corporate human resources demand forecasting process, this prediction model to human resources-related data scale enterprises disorderly conduct effective training and extract, which explore the human resource needs of law for corporate human Resource Management provides a certain convenience.Integrated demand forecasting research methods of human resources at home and abroad based on the theoretical basis of its principles in accordance with the prediction of human resources through the study of the human resource needs of China’s large-scale enterprises, influencing factors, through the establishment of gray BP neural network model, as well as the results of model predicted in MATLAB analysis and evaluation, designed to provide a useful way to promote better human resources demand forecast of China’s large-scale enterprise development for the human resource needs of China’s large-scale enterprises forecast.