BP神经网络在比色法测温系统标定中的应用

The Application of BP Neural Network on the Temperature Measurement System Based on Colorimetry and Blackbody Demarcation

红外辐射特性测量是导弹预警和识别的主要手段,相关研究具有较大的军事应用价值。目标的表面温度测量是红外辐射特性测量的基础。简要介绍了基于比色法测量目标表面温度系统的原理和结构,推导了表面温度测量模型并详细介绍了测温过程。分别使用最小二乘法和BP神经网络方法对测量数据进行处理,与最小二乘法相比,BP神经网络具有精度高、通用性好等特点。

Infrared radiation characteristics measurement is the main method for the precaution and discrimination of missiles,relevant research is worthy in military application. The measurement of target＇s surface temperature is the base of infrared radiation characteristics measurement. The principle and configuration of target＇s surface temperature measurement system based on eolorimetry was introduced in brief, the measurement model is deduced and the processes of temperature measurement are presented particularly, Least-square method and back-propagation neural network method were both used to deal with the measurement data. Compared with the least-square method, back-propagation neural network has more advantages, such as high precision, good applicability and so on.