Forecasting regional talent demand based on support vector machine

In order to improve the talent demand prediction precision, this paper proposes a regional talent demand prediction method based on the Principal Component Analysis and the Support Vector Machine. Firstly, regional talent demand impact factors are analyzed by the Principal Component Analysis, the redundant information among factors is eliminated and the dimensionality of input variables of Support Vector Machine is reduced. Secondly, the process of the modeling and forecasting is carried out using Support Vector Machine. Through the analysis of a practical example, the proposed model can eliminate the redundant information, accelerate the learning speed and improve the accuracy of the regional talent demand. On the other hand, it gives also a new effective way to forecast the regional talent demand.