Evaluation method of operational effectiveness based on support vector machine

With the increasing complexity and uncertainty of the information war,a higher requirement is put forward to the evaluation of operational effectiveness of the force.After analyzing the characteristics of support vector machine and enhanced irreducible semi-autonomous adaptive combat neural simulation toolkit(EINSTein), the evaluation model of operational effectiveness is established to accomplish nonlinear mapping from evaluation index to combat effectiveness based on support vector machine.In a certain battle scenario,the model with the simulation data produced by EINSTein system is validated.Simulation results show that compared with error back propagation neural networks(BPNN),the support vector machine model which can reduce the impact of human factors and assess the operational effectiveness more accurately is an effective evaluation method.