基于BP神经网络模型的目标属性识别仿真

在地面防空作战中,对空中目标进行属性识别是防空导弹武器发射决策的关键环节之一,可靠及时的识别可有效地避免误伤我（友）机,准确消灭敌机。结合现代防空作战特点,对影响目标属性识别的各种因素进行定性和定量分析,建立了基于BP神经网络的目标属性识别模型,仿真分析表明了模型的有效性和实时性。

Target Attribute Identification Simulation Based on BP Neural Network Model

In ground-based air defense combat, target attribute identification is one of the key links in the air defense missile weapon launch decision-making. Reliable and timely identification can avoid damaging our own or friend aeroplanes and kill enemy aeroplanes accurately. Combining the features of modem air defense operation, the factors affecting target attribute identification were analyzed qualitatively and quantitatively, and the mathematical model of target attribute identification was established based on BP neural network. The validity and real time of model were testified by simulation analysis.