基于神经网络的传感器非线性误差校正 |
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引用本文: | 张爱祥,刘春生.基于神经网络的传感器非线性误差校正[J].传感器世界,2006,12(11):27-30. |
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作者姓名: | 张爱祥 刘春生 |
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作者单位: | 南京航空航天大学自动化学院,210016;南京航空航天大学自动化学院,210016 |
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摘 要: | 介绍了用神经网络校正传感器系统非线性误差的原理和方法,提出了一种基于RBF神经网络的传感器非线性校正模型及其算法,并与采用BP神经网络校正非线性误差进行了比较,并给出一个仿真实验,实验结果表明:采用RBF神经网络的传感器非线性校正精度和网络训练速度均大大优于BP神经网络,能满足实用要求.
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关 键 词: | 径向基函数(RBF) 传感器 非线性误差 校正 |
文章编号: | 1006-883X(2006)11-0027-0004 |
Nonlinear Errors Correction Of Sensors Based On Neural Network |
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Abstract: | The principles and methods for correcting the nonlinear errors of the sensor system based on a neural network are introduced. A nonlinear errors correction model and algorithm of sensor based on RBF neural network are brought forward, and be compared with those of the correction method based on BP neural network.. A emulation experiment is given and the results show that the data correcting precision by a RBF neural network is much better than that by a BP neural network, and the speed is also much faster. This approach is valuable for practical application. |
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