| 基于BP神经网络的压力传感器非线性校正方法 |
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| 引用本文： | 蒋小燕,徐大诚.基于BP神经网络的压力传感器非线性校正方法[J].苏州大学学报(医学版),2005,21(4):54-57. |
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| 作者姓名： | 蒋小燕 徐大诚 |
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| 作者单位： | 苏州大学电子信息学院,江苏苏州215021 |
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| 摘 要： | 采用BP多层前馈神经网络及其改进算法对传感器特性进行补偿，有效地改善了BP传统算法收敛慢、容易收敛到局部最小点的缺陷，并编制了训练程序．结果表明，经BP改进算法处理后，传感器性能大幅度改善，网络的收敛速度更快，精度更高．
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| 关 键 词： | BP神经网络 LM算法 传感器 非线性误差 |
| 文章编号： | 1000-2073(2005)04-0054-04 |
| 收稿时间： | 05 10 2005 12:00AM |
| 修稿时间： | 2005年5月10日 |
Nonlinear errors correction method of pressure sensor based on BP neural network |
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| JIANG Xiao-yan, XU Da-cheng.Nonlinear errors correction method of pressure sensor based on BP neural network[J].Journal of Suzhou University(Natural Science),2005,21(4):54-57. |
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| Authors: | JIANG Xiao-yan XU Da-cheng |
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| Institution: | School of Electronic and Inforrmation Engineering , Suzhou Univ. , Suzhou 215021, China |
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| Abstract: | BP neutral network and its improved algorithms are applied to compensate sensor's performance.The defects of BP,for example,converging slowly,being easy to converge to minimum of one part are improved efficiently.Training programs are done.Results show that the performance of sensor is improved highly.Network has a high converging speed and good precision. |
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| Keywords: | BP neural network LM algorithm sensor nonlinear errors |
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