Prediction on Combat Effectiveness of Amphibious Assault Vehicles Based on Supporting-Vector Regression
Mianhao Qiu, Hua Cong, Hua Peng Jia · Advanced materials research · 2014
In this paper, a predictive model has been established for the combat effectiveness of amphibious assault vehicles by the method of supporting-vector regression. It has a good fitting result after trained with the samples. Then this model is used to predict the combat effectiveness of the sample under evaluation. The SVR approach can convert the practical questions into the high-dimensional feature space through non-linear transfer, and construct the linear decision functions in the space to realize the original non-linear decision functions. This approach has its significance for the prediction of combat effectiveness of AAVs.