| 基于函数连接型神经网络的热电偶非线性校正 |
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| 引用本文： | 沈杨,蒲海波,李兴林,孙杰.基于函数连接型神经网络的热电偶非线性校正[J].传感器与微系统,2005,24(4):13-15. |
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| 作者姓名： | 沈杨 蒲海波 李兴林 孙杰 |
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| 作者单位： | 1. 辽宁石油化工大学,机械工程学院,辽宁,抚顺,113001
2. 大庆试油试采公司,黑龙江,大庆,163412 |
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| 摘 要： | 针对目前常用的查表和最小二乘等传统非线性校正方法的不足,提出了解决热电偶非线性校正问题的函数连接型神经网络算法。利用传感器的原始数据,得到输入、输出样本对,训练神经网络得到动态修正模型。实际结果表明:这种智能测温方法比传统的测温方法在系统测量速度和精度方面均有很大提高。该方法可应用于很多系统的非线性校正。
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| 关 键 词： | 函数连接型 非线性 热电偶 神经网络 |
| 文章编号： | 1000-9787(2005)04-0013-03 |
| 修稿时间： | 2004年10月30日 |
Rectification of non-linearity of thermocouple based on functional link artificial neural networks |
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| SHEN Yang,PU Hai-bo,LI Xing-lin,SUN Jie.Rectification of non-linearity of thermocouple based on functional link artificial neural networks[J].Transducer and Microsystem Technology,2005,24(4):13-15. |
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| Authors: | SHEN Yang PU Hai-bo LI Xing-lin SUN Jie |
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| Abstract: | The functional link artificial neural network model of solving the problems on the non-linearity rectification of thermocouple sensor is put forward for the shortcoming of checking form,least square and other conventional methods in the common use currently.Primitive data of sensor are made use of,the input and output are got,the neural networks are trained in order to get the model of developing rectification.The actual result expresses this kind of intelligence method of measuring tempareture has big exaltation in the speed and accuracy of the measurement system.The method can be used in many systems to realize the non-linearity rectification. |
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| Keywords: | FLA(functional link artificial) non-linearity thermocouple neural network |
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