基于粗糙集-神经网络的组网雷达作战效能评估

Evaluation of Combat Effectiveness of Radar Netting Based on Rough Set and Neural Network

建立了组网雷达作战效能评价的指标体系,提出了一种基于粗糙集-神经网络的组网雷达作战效能评价方法,运用粗糙集理论对训练样本进行属性约简,对约简后的属性运用BP神经网络进行训练,该方法能够有效地降低神经网络的复杂度,减少网络训练时间。

Index system for evaluation on the networking radar combat effectiveness was established. An efficiency evaluation method for networking radar combat was put forward based on rough set and neural network. Firstly, applying rough set theory, training samples were reduced by the attribute. Then the reduction attributes were trained by using BP neural network. The above method could effectively reduce the complexity of neural network and the network training time.