| 基于复合RBFNN的数字温度传感器误差补偿方法 |
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| 引用本文： | 林海军,杨进宝,汪鲁才,杨艳华.基于复合RBFNN的数字温度传感器误差补偿方法[J].传感技术学报,2011,24(2):243-247. |
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| 作者姓名： | 林海军 杨进宝 汪鲁才 杨艳华 |
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| 作者单位： | 湖南师范大学工学院; |
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| 基金项目： | 湖南省教育厅优秀青年基金(07C249); 湖南师范大学博士科研启动基金(100604); 长沙市科技计划项目(长财企指[2009]85号) |
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| 摘 要： | 数字温度传感器存在零点误差与非线性误差,需要进行误差补偿.提出了一种复合径向基函数神经网络(CRBFNN)的数字温度传感器误差补偿方法:首先根据数字温度传感器的误差特征,构造两个相互独立的子RBFNN网络,获得两个独立的冗余补偿值;然后根据特征阈值、数字温度传感器的输出估计器和权值调节器,获得复合RBFNN输出融合权值...
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| 关 键 词： | 数字温度传感器 误差补偿 复合径向基函数神经网络 误差特征 |
Error Compensation of Digital Temperature Sensor Based on Complex RBF Neural Network |
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| LIN Haijun,YANG Jinbao,WANG Lucai,YANG Yanhua.Error Compensation of Digital Temperature Sensor Based on Complex RBF Neural Network[J].Journal of Transduction Technology,2011,24(2):243-247. |
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| Authors: | LIN Haijun YANG Jinbao WANG Lucai YANG Yanhua |
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| Affiliation: | LIN Haijun,YANG Jinbao,WANG Lucai,YANG Yanhua(Polytechnic College of Hunan Normal University,Changsha,410081,China) |
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| Abstract: | An error compensation method is proposed for digital temperature sensor's zero error and nonlinear error based on complex radial basis function neural network(CRBFNN).Two independent sub-networks are founded according the digital temperature sensor's error character and two redundant compensated temperature data are gotten.The characteristic threshold,the estimator of digital temperature sensor's output and the adjuster of the weight are used to obtain the output weight of CRBFNN,and then the final compensa... |
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| Keywords: | digital temperature sensor error compensation complex radial basis function neural network |
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