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基于MATLAB的改进BP神经网络的实现与比较
引用本文:周黄斌,周永华,朱丽娟. 基于MATLAB的改进BP神经网络的实现与比较[J]. 计算技术与自动化, 2008, 27(1): 28-31
作者姓名:周黄斌  周永华  朱丽娟
作者单位:广西大学,电气工程学院,广西,南宁,530004
摘    要:BP神经网络应用广泛,且算法很多,研究多种神经网络的优势与不足,以能在不同对象下选取合适的神经网络算法。运用MATU出来实现各种BP神经网络的设计和训练。并以函数逼近为例,通过对不同的BP神经网络仿真与原函数图像的拟合,比较不同的BP神经网络的性能,验证新型BP网络的优势,得出如何根据对象选取神经网络的结论。

关 键 词:BP神经网络  MATLAB  函数逼近
文章编号:1003-6199(2008)01-0028-04
修稿时间:2007-08-20

Implementation and Comparison of Improving BP Neural Network Based on MATLAB
ZHOU Huang-bin,ZHOU Yong-hu,ZHU Li-juan. Implementation and Comparison of Improving BP Neural Network Based on MATLAB[J]. Computing Technology and Automation, 2008, 27(1): 28-31
Authors:ZHOU Huang-bin  ZHOU Yong-hu  ZHU Li-juan
Affiliation:ZHOU Huang-bin,ZHOU Yong-hua,ZHU Li-juan(College of Electrical Engineering,Guangxi University,Nanning 530004,China)
Abstract:At present,BP neural network is widely used,and has many algorithms. Advantages and disadvantages of various BP algorithms are studied so that people can choose suitable algorithms when different objective are faced.Using MATLAB implements the design and training of improving BP neural network.And as the approximation of function for example,approximating the emulation of the different BP neural Netwlrk with the figure of primary function,it compares the performance of different BP neural network,Advantages...
Keywords:BP neural network  MATLAB  approximation of function  
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