| 基于FA-RBF神经网络的压力传感器的温度漂移补偿法 |
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| 引用本文： | 孙艳梅,刘树东,陶佰睿.基于FA-RBF神经网络的压力传感器的温度漂移补偿法[J].物理实验,2011,31(7). |
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| 作者姓名： | 孙艳梅 刘树东 陶佰睿 |
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| 作者单位： | 1. 齐齐哈尔大学,通信与电子工程学院,黑龙江齐齐哈尔,161001;齐齐哈尔大学,理学院,黑龙江齐齐哈尔,161001
2. 齐齐哈尔大学,通信与电子工程学院,黑龙江齐齐哈尔,161001 |
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| 基金项目： | 黑龙江省自然科学基金，齐齐哈尔大学青年教师科研启动支持计划项目，黑龙江省普通高等学校青年学术骨干支持计划项目 |
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| 摘 要： | 针对温度对硅压阻式压力传感器输出的影响问题,提出基于因子分析和RBF神经网络相结合的补偿方法.利用因子分析实现对原始信息的筛选和降维;结合RBF神经网络的非线性映射、自适应能力和强容错性对补偿过程进行建模,减少网络的输入,利于简化网络结构,进而加快收敛,节省运行时间,提高网络的学习速率与泛化能力.研究结果表明,该方法有效地抑制了温度对压力传感器的影响,提高传感器的稳定性和准确性.
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| 关 键 词： | 温度补偿 因子分析 神经网络 传感器 |
Temperature drift compensation of pressure sensor based on RBF neural network |
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| SUN Yan-mei,LIU Shu-dong,TAO Bai-rui.Temperature drift compensation of pressure sensor based on RBF neural network[J].Physics Experimentation,2011,31(7). |
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| Authors: | SUN Yan-mei LIU Shu-dong TAO Bai-rui |
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| Institution: | SUN Yan-meia,b,LIU Shu-donga,TAO Bai-ruia(a.Institute of Communications and Electronics Engineering,b.College of Science,University of Qiqihar,Qiqihar 161006,China) |
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| Abstract: | Compensation method based on factor analysis and RBF neural network was proposed to compensate the temperature drift of silicon pressure sensor.Factor analysis was used to realized dimension reduction and primitive information selection;nonlinear mapping,self-adaption and strong fault-tolerance of RBF neural network was used to model the compensation process.It reduced the number of inputs of the network,simplified the network structure,speeded the convergence process and enhanced the learning rate and gene... |
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| Keywords: | temperature compensation factor analysis neural network sensor |
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