| 基于BP神经网络的浓度传感器非线性校正 |
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| 引用本文： | 田丰,孙小平,赵昱,姜平. 基于BP神经网络的浓度传感器非线性校正[J]. 计算机工程与应用, 2005, 41(3): 226-228 |
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| 作者姓名： | 田丰 孙小平 赵昱 姜平 |
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| 作者单位： | 沈阳航空工业学院计算机学院,沈阳,110034;沈阳航空工业学院计算机学院,沈阳,110034;沈阳航空工业学院计算机学院,沈阳,110034;沈阳航空工业学院计算机学院,沈阳,110034 |
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| 基金项目： | 辽宁省教育厅科学研究计划(编号:202023083)资助 |
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| 摘 要： | 提出基于BP神经网络的浓度传感器非线性误差校正方法。文中详细给出了BP神经网络算法原理及训练方案。当替换传感器或环境条件发生变化时,只要获取一组输入输出样本对,便可重新训练网络,获得新的输入输出样本关系,从而实现传感器非线性校正和动态标定,提高传感器的互换性,有实际应用价值。
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| 关 键 词： | 非线性校正 BP网络 浓度传感器 |
| 文章编号： | 1002-8331-(2005)03-0226-03 |
The Non-linearity Compensation of Concentration Sensors Based on BP Neural Network |
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| Tian Feng,Sun Xiaoping,Zhao Yu,Jiang Ping. The Non-linearity Compensation of Concentration Sensors Based on BP Neural Network[J]. Computer Engineering and Applications, 2005, 41(3): 226-228 |
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| Authors: | Tian Feng Sun Xiaoping Zhao Yu Jiang Ping |
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| Abstract: | The method for correcting the sensors' nonlinear error is presented based on the BP neural network.It is detailed to introduce the algorithm principle and trains project of the BP neural network.When the replacement of transducer or environment occurrences variety,as long as obtaining a group of input and output samples,the network can be retrained,acquire the new input and output samples relations to.Thus,the correction of nonlinear error is realized,and it can increase transducer compatibility and has practical applied value. |
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| Keywords: | nonlinear correction BP neural network concentration transducer |
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