基于改进的BP神经网络的雷达干扰效能评估模型

Radar Jamming Effectiveness Evaluation Model Based on Improved BP Neural Network

针对标准的后向传播(BP)神经网络在雷达干扰效能评估模型中存在的收敛速度较慢的问题,引入带动量的批处理梯度下降的改进BP网络进行干扰效能评估。仿真结果表明,该方法减少了评估中的人为影响,成绩评估与实际结果一致,降低了训练时间,实现了模型效能的提高。

Aiming at the problem that the convergence velocity of standard back propagation （BP） neural network is slow in the radar jamming effectiveness evaluation model,an improved BP neural network algorithm with momentum and batch management grade decrease is introduced to perform jamming effectiveness evaluation. The simulation result shows that the method reduces artificial in- fluence in evaluation course, and there is no difference between the evaluated results and the actual results ,which reduces training time, realizes the improvement of the model effectiveness.