基于一种改进的BP神经网络的飞机目标识别

文章利用一种基于改进的BP神经网络的飞机目标识别,在提高训练速度和训练效率时,识别过程更稳定可靠,识别结果更准确。实验结果表明,该识别模型和训练策略在实际应用中是可行的。

In this paper,based on improved BP neural network target recognition of aircraft,training speed and training in improving the efficiency,the recognition process is more stable and reliable,the recognition results is more accurate.Experimental results show that the identification model and training strategy in practical applications is feasible.