传感器非线性校正的人工神经网络方法

Artificial Neural Network Approach to Nonlinear Calibration for Sensors

本文提出传感器非线性校正的人工神经网络方法。研究实例中，其最大相对误差不超过０．９５％。理论分析和实验结果表明，该方法性能良好，在建立各种传感器的校正曲线方面有广阔的应用前景。

Abstract The artificial neural network approach to the nonlinear calibration forsensors are presented in this paper,In our research examples,the maxmium fitting relatederror doesn’t exceed 0.95%;Both of the experimential results and theoretical analysis showthat the performance of the neural network approach is good,and therefore it might be widely used in nonlinear cahbration for various kinds of sensors.