| Widrow-Hoff神经网络学习规则的应用研究 |
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| 引用本文： | 葛蕾,霍爱清.Widrow-Hoff神经网络学习规则的应用研究[J].国外电子元器件,2009,17(6):15-16,19. |
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| 作者姓名： | 葛蕾 霍爱清 |
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| 作者单位： | 西安石油大学电子工程学院; |
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| 摘 要： | 基于线性神经网络原理，提出线性神经网络的模型，并利用Matlab实现Widrow-Hoff神经网络算法。分析Matlab人工神经网络工具箱中有关线性神经网络的工具函数，最后给出线性神经网络在系统辨识中的实际应用。通过对线性神经网络的训练，进一步验证Widrow-Hoff神经网络算法的有效性，以及用其进行系统辨识的高精度拟合性。
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| 关 键 词： | Widrow-Hoff学习规则 线性神经网络 Matlab 系统辨识 |
Application research of Widrow-Hoff neural network learning rule |
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| GE Lei,HUO Ai-qing.Application research of Widrow-Hoff neural network learning rule[J].International Electronic Elements,2009,17(6):15-16,19. |
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| Authors: | GE Lei HUO Ai-qing |
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| Affiliation: | School of Electronic Engineering;Xi'an Shiyou University;Xi'an 710065;China |
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| Abstract: | Based on linear nerual network,model is presented and Widrow-Hoff neural network algorithm is realized using Matlab.In Matlab artificial neural network tool box,the realizational linear neural network tool function is analyzed,at last the practical application of the linear neural network in system identification is given.Through the linear neural network disciplining,it shows that the Widrow-Hoff neural network algorithm is effective and has a higher fitting accuracy in system identification. |
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| Keywords: | Widrow-hoff learning rule linearity neural network Matlab system identification |
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