Intelligent Evaluation for Aerial Warfare Efficiency of Fighter-plane Based on Rough Set and Support Vector Machine
Gong Sheng-ke, Haojun Xu, Pla Air · Fire Control and Command Control · 2012
According to the characteristic of modern aerial warfare,the index set of aerial warfare efficiency evaluation is selected in this paper.Reduction is performed on index systems based on rough set theory to extract characteristic parameters which affect aerial warfare efficiency crucially,which is to remove redundant information and reduce the dimension of support vector.Support vector machine (SVM) has the advantages of simple structure,global optimum and high generalization ability.With the characteristic parameters,intelligent evaluation model for aerial warfare efficiency of fighter-plane is establish by using Support Vector Regression(SVR),and we compare the SVR with index method and BP network method by a case study,which verified the feasibility and validity of the model.