Design And Implementation Of Evaluation System Of Talents In Universities Based On Support Vector Machine (SVM)

With the rapid growth of our national power and the great change of social transformation, the societies has changed a lot day and night, it is inevitably leads to a giant demand of numerous cutting-edge academic talents in several of fields. Therefore the state also focuses on training and selection of personnel program, especially for the introduction of overseas talents and the promotion of domestic ones. Recent years, the advanced technology has played a role in all fields in the mechanism of talent selection. Supporting vector machine(SVM) and other algorithm are also widely used in the field of data analysis.Based on support vector machine application in talent selection mechanism, this paper proceeded from the historical data of the middle and high-end talents in Jilin University. A development of high-end talent system and support vector machine(SVM) were applied to scholars to forecast whether it follows the standards of high-end talent thus to provide analysis and reference for other scholars. First, the paper introduces related contents in the field of domestic talents in universities, and demonstrates the necessity of the statistical analysis of middle and high-end personnels in universities. Based on that, the machine learning, statistics and the theory of support vector machine(SVM) are introduced in a further way. Through varies experiments to find the model with highest level of accurate prediction. After that, in order to clearly further clarify the necessity of system implementation, it introduces the development process on the high-end talent system which involved in the development environment of the system, demand analysis, system design, system implementation, etc. Finally, using support vector machine(SVM) to predict the unknown scholars to meet the possibility of five plans, thousands of people in Jilin University program, the national outstanding youth in the high-end talent, the Yangtze River scholar, the outstanding youth, youth one thousand people, and providing reference for other scholars to clear the top talent selection condition and further development direction in a certain extent in the future.In this experiment, the author uses support vector machine(SVM) to predict whether the unknown scholar meets the possibility of high-level talents in universities. And then makes an application of that in the high-end talent system, the direction of research is rarely involved in the study previously. But it has practical significance to the management and prediction of the talent information in universities. It is not only to provide the effective reference for the selection of top talent for scholars to evaluate themselves, and even has a great application value in the aspects of management and utilization of high-end talent for more countries.