Improved fuzzy ART neural network learning algorithm

doi:10.3778/j.issn.1002-8331.2008.28.016

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (28): 49-50.DOI: 10.3778/j.issn.1002-8331.2008.28.016

• 理论研究 • Previous Articles Next Articles

Improved fuzzy ART neural network learning algorithm

XU Ling-ling,LI Chao-feng,PAN Ting-ting

School of Information Engineering，Jiangnan University，Wuxi，Jiangsu 214122，China

Received:2007-11-19 Revised:2008-03-13 Online:2008-10-01 Published:2008-10-01
Contact: XU Ling-ling

一种改进的模糊ART神经网络学习算法

徐玲玲,李朝峰,潘婷婷

江南大学信息工程学院，江苏无锡 214122

通讯作者: 徐玲玲

Abstract

Abstract: In this paper，we improve the cluster-choose way of Fuzzy ART neural network，and moreover introduce the membership degree into the updating rule of connection weight vector，and then gain an improved Fuzzy ART learning algorithm.IRIS data classification results prove the validity of the new algorithm.

Key words: Fuzzy Adaptive Resonance Theory, membership degree, pattern classification

摘要： 对模糊ART神经网络模型中的类别选择方法进行改进，并在权值向量的修改规则中引入隶属度，得到一种改进的Fuzzy ART学习算法。IRIS数据分类结果证明了新方法的可行性。

关键词: 模糊自适应共振理论, 隶属度, 模式分类

XU Ling-ling,LI Chao-feng,PAN Ting-ting. Improved fuzzy ART neural network learning algorithm[J]. Computer Engineering and Applications, 2008, 44(28): 49-50.

徐玲玲,李朝峰,潘婷婷. 一种改进的模糊ART神经网络学习算法[J]. 计算机工程与应用, 2008, 44(28): 49-50.

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Improved fuzzy ART neural network learning algorithm

一种改进的模糊ART神经网络学习算法

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