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基于BP神经网络的红外测温系统温度标定方法

The Demarcating Method of Infrared Measuring Temperature System on the BP Neural Network

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【作者】 刘缠牢谭立勋李春燕

【Author】 LIU Chan-lao,TAN Li-xun,LI Chun-yan (School of Optoelectronical Engineering,Xi’an Institute of Technology,Xi’an 710032,China)

【机构】 西安工业学院光电工程学院西安工业学院光电工程学院 陕西西安710032陕西西安710032

【摘要】 介绍了红外测温系统温度标定方法和BP算法神经网络,将BP算法神经网络应用于温度标定物理实验中的灰度与温度的特性曲线拟合,并在MATLAB下通过训练和仿真验证了应用BP算法神经网络拟合实验曲线的优越性,其拟合精度远高于最小二乘拟合,为测温数据的软件处理提供了新的方法。

【Abstract】 Basic principle of the infrared measuring temperature demarcating method and the BP neural network is introduced.The back Demarcating method of neural network is described in detail.The application of Demarcating method neural network in fitting the curves of physical experiments is studied.Through training and simulating under MATLAB,the advantage of using BP algorithm neural network in physical curve fitting is proven.And its precision is by far higher than the minimum double multiplication fitting so as to offer a new method to deal with the temperature demarcating software.

  • 【文献出处】 激光与红外 ,Laser & Infrared , 编辑部邮箱 ,2006年08期
  • 【分类号】TH811.2
  • 【被引频次】24
  • 【下载频次】447
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