| 基于BP神经网络的红外测温系统温度标定方法 |
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| 引用本文： | 刘缠牢,谭立勋,李春燕.基于BP神经网络的红外测温系统温度标定方法[J].激光与红外,2006,36(8):655-656,667. |
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| 作者姓名： | 刘缠牢 谭立勋 李春燕 |
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| 作者单位： | 西安工业学院光电工程学院,陕西,西安,710032 |
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| 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。
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| 关 键 词： | 温度标定 BP神经网络 最小二乘法 拟合 |
| 文章编号： | 1001-5078（2006）08-0655-02 |
| 收稿时间： | 2006-02-23 |
| 修稿时间： | 2006-02-23 |
The Demarcating Method of Infrared Measuring Temperature System on the BP Neural Network |
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| LIU Chan-lao,TAN Li-xun,LI Chun-yan.The Demarcating Method of Infrared Measuring Temperature System on the BP Neural Network[J].Laser & Infrared,2006,36(8):655-656,667. |
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| Authors: | LIU Chan-lao TAN Li-xun LI Chun-yan |
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| Abstract: | Basic princip le of the infrared measuring temperature demarcatingmethod and the BP neural network is introduced. The back Demarcating method of neural network is described in detail. The app lication of Demarcating
method neural network in fitting the curves of physical experiments is studied. Through training and simulating under MATLAB, the advantage of usingBP algorithm neural network in physical curve fitting is proven. And its precision is by far higher than the minimum double multip lication fitting so as to offer a new method to dealwith the temperature
demarcating software. |
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| Keywords: | temperature demarcating BP neural network the minimum double multiplication curve fitting |
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