基于BP算法神经网络的物理实验曲线拟合  

Curve fitting of physical experiments based on BP algorithm artificial neural network

作　　者：陈小宇[1] 乔翠兰[1] 汪瑞祥[1] 

机构地区：[1]黄冈师范学院物理系,湖北黄冈438000

出　　处：《物理实验》2002年第9期10-13,共4页Physics Experimentation

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 MATL AB下通过训练和仿真验证了应用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.

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 

分 类 号：O4－33[理学—物理] TP183[自动化与计算机技术—控制理论与控制工程]