Evaluation Method of Combat Effectiveness Based on RBF Neural Network
Xiaogang Qiu · Jisuanji fangzhen · 2008
In the modern combat simulation,the evaluation of combat effectiveness is an important link,and suffers the special high attention.An evaluation method of combat effectiveness was proposed based on improved RBF neural network,the method regulated the scale and parameter of network dynamically by the samples.Then an experiment was conducted using EINSTein system.The simulation results show that the improved RBF neural network has the advantages of stronger self-learning ability,high precision and great feasibility.Therefore,the method can be used widely in the evaluation of combat effectiveness.