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一种基于正交基神经网络算法的传感器误差补偿方法
引用本文:曾喆昭,竺炜,王耀南.一种基于正交基神经网络算法的传感器误差补偿方法[J].传感技术学报,2007,20(3):536-539.
作者姓名:曾喆昭  竺炜  王耀南
作者单位:长沙理工大学电气与信息工程学院,长沙,410077;湖南大学电气与信息工程学院,长沙410082;长沙理工大学电气与信息工程学院,长沙,410077;湖南大学电气与信息工程学院,长沙410082
摘    要:为了提高传感器的误差补偿精度,提出了一种基于正交基神经网络算法的传感器误差补偿方法.研究了神经网络算法的收敛性,为学习率的选择提供了理论依据.为了验证算法的有效性,给出了传感器误差补偿实例.研究结果表明,基于正交基神经网络算法的传感器误差补偿方法具有高的误差补偿精度,因而是一种有效的误差补偿方法.

关 键 词:神经网络  正交基函数  传感器  误差补偿
文章编号:1004-1699(2007)03-0536-04
收稿时间:2006-04-17
修稿时间:2006-05-18

An Approach of Error Compensation on Sensors Using the Neural Networks Algorithm with Orthonormal Functions
ZENG Zhe-zhao,Zhu Wei and WANG Yao-nan.An Approach of Error Compensation on Sensors Using the Neural Networks Algorithm with Orthonormal Functions[J].Journal of Transduction Technology,2007,20(3):536-539.
Authors:ZENG Zhe-zhao  Zhu Wei and WANG Yao-nan
Affiliation:1. College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410076, China 2. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Abstract:In order to improve the error compensation precision on sensors, a method of the error compensation on sensors using the neural network algorithm with orthonormal basis functions is proposed. The convergence of the algorithm is researched. The theory gist to select learning rate is provided by the convergence theorem. To validate the validity of the algorithm, the simulating example of the error compensation on sensor was given. The result shows that the error compensation approach on sensors using the neural network algorithm with orthonormal basis functions has a high precision of error compensation. Therefore, the method of the error compensation presented in the paper is effective.
Keywords:neural networks  orthonormal basis functions  sensor error compensation
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