摘要
红外探测设备是红外系统中的重要组成部分,对其性能评估具有实际意义;分析研究了影响红外探测效果的主要因素,选取环境温度、相对湿度、能见度、辐通量、目标高度和探测距离为评价指标。针对神经网络良好的非线性映射功能及高精度的特点,构建了BP网络评估模型;实验表明:该方法简单有效,评估精度较高,具有很强的实际应用价值。
Infrared detector equipment is an important part of infrared system, and evaluating its perform ance has a practical significance. The main impact factors of infrared detector equipment were analyzed. The environment temperature, relative humidity, visibility, radiant flux, target height and detection range were selected as evaluation index. In view of the good nonlinear mapping function of neural network and the characteristics of high precision, the BP network evaluation model is set up. The experiment indicates that this method is simple and effective, with high precision evaluation and actual application value.
出处
《四川兵工学报》
CAS
2014年第3期21-22,30,共3页
Journal of Sichuan Ordnance
