| 基于径向基函数神经网络的探空仪湿度传感器曲线拟合 |
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| 引用本文： | 杨子宾,王晓蕾,张伟星,李萍.基于径向基函数神经网络的探空仪湿度传感器曲线拟合[J].气象科技,2010,38(2):226-229. |
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| 作者姓名： | 杨子宾 王晓蕾 张伟星 李萍 |
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| 作者单位： | 解放军理工大学气象学院,南京,211101 |
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| 摘 要： | 针对数字式探空仪上采用的XGH-02型高分子碳膜湿敏电阻湿度感应元件,采用正规化径向基函数(RBF)神经网络模型对其进行曲线拟合,与传统的曲线拟合效果相比较,寻求一种更加准确的湿度传感器标定和误差的校准模型。用训练样本和检验样本对建立的RBF模型分别进行训练和检验结果表明,建立的RBF模型有效提高了湿敏电阻的准确度,其测量的最大误差为2.0298%(RH),明显好于采用现用公式的测量准确度。
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| 关 键 词： | 高分子碳膜湿敏电阻 径向基函数 神经网络 曲线拟合 |
| 收稿时间： | 2009/3/25 0:00:00 |
| 修稿时间： | 6/5/2009 12:00:00 AM |
Curve Fitting of Humidity Sensor Used in Digital Sonde Based on RBF Neural Network |
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| Yang Zibin,Wang Xiaolei,Zhang Weixing and Li Ping.Curve Fitting of Humidity Sensor Used in Digital Sonde Based on RBF Neural Network[J].Meteorological Science and Technology,2010,38(2):226-229. |
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| Authors: | Yang Zibin Wang Xiaolei Zhang Weixing and Li Ping |
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| Institution: | Yang Zibin Wang Xiaolei Zhang Weixing Li Ping(Institute of Meteorology,PLA Univ.of Sci.& Tech.,Nanjing 211101) |
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| Abstract: | The curve fitting of XGH-02 macromolecule carbon hygristor used in digital sondes is studied,based on the model of RBF(Radial Basis Function) neural network.Compared with the traditional method of curve fitting,a more precise model of sensor and error calibration is presented.The training and testing of the RBF neural network the model with training and testing samples indicates that the model of the RBF neural network can improve the accuracy of humidity resistance effectively,and the maximum error of meas... |
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| Keywords: | macromolecule carbon hygristor RBF neural network curve fitting |
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