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BP神经网络的MATLAB编程实现及讨论
引用本文:余晓红. BP神经网络的MATLAB编程实现及讨论[J]. 浙江交通职业技术学院学报, 2007, 8(4): 45-48
作者姓名:余晓红
作者单位:杭州职业技术学院,信息电子工程系,浙江杭州,310018
摘    要:BP神经网络具有很强的非线性函数逼近能力。通过Matlab编程实现了BP网络对一个二元函数的逼近,针对BP网络学习速度慢的缺点,采用含动量项的学习算法提高了收敛速度。通过Matlab仿真方法,研究了学习率和动量因子对算法学习速度的影响。

关 键 词:神经网络  BP网络  学习算法
文章编号:1671-234X(2007)04-0045-04
收稿时间:2007-07-22
修稿时间:2007-07-22

Matlab Implementation and Discussion of BP Neural Network
YU Xiao-hong. Matlab Implementation and Discussion of BP Neural Network[J]. Journal of Zhejiang Vocational and Technical Institute of Transportation, 2007, 8(4): 45-48
Authors:YU Xiao-hong
Abstract:BP neural network has strong ability of approaching nonlinear function.Matlab programming of BP network was implemented to approach a 2-dimentional function.The convergence speed was expedited via the momentum in the learning algorithm.The influence of learning rate and momentum against the learning speed were discussed.
Keywords:Matlab
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