Research on Appraising of Tactical Internet Simulative Training

Abstract

Appraising is an important work of Tactical Internet (TI) simulative training. As a new type of network, the appraising of TI training needs to be solved by new method. Therefore, the paper set up a new index system firstly, laid the foundation for the appraising of Tactical Internet simulative training. Secondly, the paper used a Petri net method, which solved the acquisition problem for those indexes that are dynamic changed and not easy to be directly calculated. Thirdly, the paper used a BP neural network method, which solved the calculation of index weights. Finally, based on the method of satisfaction degree, the paper set up an appraising model which realized the appraising of trainees’ training level。The paper’s work has been applied in practice and achieved good results.