| 基于BP算法神经网络的物理实验曲线拟合 |
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| 引用本文： | 陈小宇,乔翠兰,汪瑞祥.基于BP算法神经网络的物理实验曲线拟合[J].物理实验,2002,22(9):10-13. |
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| 作者姓名： | 陈小宇 乔翠兰 汪瑞祥 |
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| 作者单位： | 黄冈师范学院物理系,湖北,黄冈,438000 |
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| 摘 要： | 介绍了人工神经元网络的基本原理和BP算法神经网络。将BP算法神经网络应用于物理实验中的幅频特性曲线拟合，在MATLAB下通过训练和仿真验证了应用BP算法神经网络拟合实验曲线的优越性。
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| 关 键 词： | 物理实验 曲线拟合 神经网络 BP算法 人工神经元网络 |
| 文章编号： | 1005-4642(2002)09-0010-04 |
| 修稿时间： | 2002年3月29日 |
Curve fitting of physical experiments based on BP algorithm artificial neural network |
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| CHEN Xiao,yu,QIAO Cui,lan,WANG Rui,xiang.Curve fitting of physical experiments based on BP algorithm artificial neural network[J].Physics Experimentation,2002,22(9):10-13. |
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| Authors: | CHEN Xiao yu QIAO Cui lan WANG Rui xiang |
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| Abstract: | The basic principle of the artificial neural network is introduced. The back propagation algorithm of neural network is described in detail. The application of back propagation neural network in fitting the curves of physical experiments is studied. Through training and simulating under MATLAB, the advantage of using BP algorithm neural network in physical curve fitting is proven. |
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| Keywords: | curve fitting artificial neural network back propagation algorithm |
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