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中文摘要：
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.
英文摘要：
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.
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