基于BP神经网络的ARM目标识别模型研究

Study on the Model of ARM Target Identification Based on the BP Neural Network

应用人工神经网络可以逼近任意非线性函数这一特性,从网络的逻辑结构、工作过程、学习方法等方面,构建与实现了基于BP神经网络的ARM目标识别方法。通过Matlab的Simlink进行仿真,仿真结果证明,模型能够比较准确地对ARM目标进行识别,符合防空作战的实际需要,同时也为防空指挥自动化提供支持。

According to the character of the man-made neural network that can simulate any non-linear function, an ARM target identification model based on BP neural network is made and achieved, with its logic construction, working process and study algorithm. Through simulated by Matlab/Simlink, this model can identify precisely the ARM target, therefore it also can meet need of aerial defense battle and support to the C^3I system.