| 运用BP算法神经网络拟合传感器的输出特性 |
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| 引用本文： | 陈小宇,乔翠兰.运用BP算法神经网络拟合传感器的输出特性[J].黄冈师范学院学报,2003,23(3):63-64. |
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| 作者姓名： | 陈小宇 乔翠兰 |
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| 作者单位： | 黄冈师范学院,物理系,湖北,黄州,438000 |
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| 摘 要： | 首先介绍了BP算法神经网络的基本原理，然后将BP算法神经网络应用于拟合传感器的输出特性，并在MATLAB下通过训练和仿真验证了应用BP算法神经网络拟合传感器的输出特性的优越性。
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| 关 键 词： | BP算法 神经网络 传感器 输出特性 曲线拟合 |
| 文章编号： | 1003-8078(2003)03-0063-02 |
| 修稿时间： | 2002年9月10日 |
A way to fit transducer function by BP algorithm artificial neural network |
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| Chen Xiao-yu,Qiao Cui-lan.A way to fit transducer function by BP algorithm artificial neural network[J].Journal of Huanggang Normal University,2003,23(3):63-64. |
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| Authors: | Chen Xiao-yu Qiao Cui-lan |
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| Abstract: | We introduced the basic principle of the back propagation algo ri thm artificial neural network at first. Then we studied the application of back propagation neural network in fitting transducer function. Through training and simulating,by means of MATLAB,we verified the advantage of using BP algorithm ar tificial neural network in curves fitting. |
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| Keywords: | curve fit artificial neural network back propagation algorith m transducer |
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