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A Fitting Approach of the Temperature Characteristic Curve of Sensor Based on the Recursive Least Squares Algorithm

机译:基于递推最小二乘算法的传感器温度特性曲线拟合方法

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摘要

To improve effectively temperature compensation characteristic of sensor, a method fitting the temperature characteristic curve was proposed. The simulating example of the sensitivity-temperature characteristic curve of sensor was given. The result shows that the temperature characteristic fitting curve of sensor using the neural network algorithm is very both smooth and accurate. The fitting precision is up to 10~(-6) . Therefore, the method of curve fitting based on the neural network algorithm is effective.
机译:为了有效提高传感器的温度补偿特性,提出了一种拟合温度特性曲线的方法。给出了传感器灵敏度-温度特性曲线的仿真例子。结果表明,采用神经网络算法的传感器温度特性拟合曲线既平滑又准确。拟合精度高达10〜(-6)。因此,基于神经网络算法的曲线拟合方法是有效的。

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