| 关于单体模糊神经网络感知机收敛定理的讨论 |
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| 引用本文： | 梁久祯,何新贵,黄德双.关于单体模糊神经网络感知机收敛定理的讨论[J].电子学报,2002,30(3):407-409. |
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| 作者姓名： | 梁久祯 何新贵 黄德双 |
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| 作者单位： | 1. 浙江师范大学计算机科学研究所,浙江金华 321004;2. 北京系统工程研究所,北京 100101 |
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| 摘 要： | 考虑单体模糊神经网络模型,讨论了单体模糊神经网络的感知机收敛定理与传统神经网络感知机收敛定理的关系,指出了在证明单体模糊神经网络的感知机收敛定理时存在的问题,提出了两种修改方案,即给出了两个改进的感知机收敛定理,并给出相应的证明和说明.
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| 关 键 词： | 模糊 神经网络 感知机 学习算法 单体模糊神经网络 |
| 文章编号： | 0372-2112(2002)03-0407-03 |
| 收稿时间： | 1999-11-29 |
On the Perceptron Convergence Theorem of the Monolithic Fuzzy Neural Networks |
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| LIANG Jiu zhen ,HE Xin gui ,HUANG De shuang.On the Perceptron Convergence Theorem of the Monolithic Fuzzy Neural Networks[J].Acta Electronica Sinica,2002,30(3):407-409. |
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| Authors: | LIANG Jiu zhen HE Xin gui HUANG De shuang |
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| Affiliation: | 1. Computer Science Institute,Zhejiang Normal University,Jinhua,Zhejiang 321004,China;2. Beijing Institute of System Engineering,Beijing 100101,China |
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| Abstract: | The monolithic fuzzy neural networks model is considered.The contrasts are showed between the monolithic fuzzy neural networks and the traditional neural networks on the perceptron convergence theorem.Some issues are discussed on the perceptron convergence theorem of monolithic fuzzy neural networks.Two improving methods are investigated,which are presented as two modified perceptron convergence theorems,and the corresponding arguments or explanations support these modifications. |
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| Keywords: | fuzzy neural networks perceptron learning algorithm monolithic fuzzy neural networks |
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