The application of BP neural network and gray neural network in university graduates' employment forecasting

Abstract

With the help of neural network theory and the employment data of six majors' graduates (vehicle engineering, finance, traffic engineering, computer, applied Chemistry, law) in one university from 2002 to 2009, we study the application of these theories and models in the area of employment forecasting. By comparing the predicted results and actual ones, we verify and analyze the accuracy of these two models in forecasting, and further predict the employment situation of graduates of this university in 2010.