基于BP神经网络的反舰导弹效能评估模型

从分析不同型号的反舰导弹的主要性能指标出发,应用神经网络的理论方法探索其效能评估的问题。建立了反舰导弹效能评估的神经网络模型,构造了3组训练样本并对样本进行训练、仿真,最后对结果进行比较,证明了用神经网络模型来对反舰导弹进行效能评估是可信、可行的。研究结果也为反舰导弹武器的进一步发展提供了理论参考。

Effectiveness Evaluation Model of Anti-ship Missile Based on BP Neural Network

Starting from analyzing the main performance indexes of different types of anti-ship missiles, this paper applies the theory method of neural network to explore the problem of their effectiveness evaluation,sets up the neural network model of effectiveness evaluation for anti-ship missiles,constructs three groups of training samples and performs training and simulating to the sampies,finally compares the results and proves it is reliable and feasible to perform the effectiveness evaluation to anti-ship missiles by using the neural network model. The research result also provides theoretic reference for more development of anti-ship missiles.