| 自组织模糊神经网络的结构辨识算法 |
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| 引用本文： | 李浩,梁娟.自组织模糊神经网络的结构辨识算法[J].河南师范大学学报(自然科学版),2012,40(4):130-132. |
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| 作者姓名： | 李浩 梁娟 |
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| 作者单位： | 1. 河南工程学院计算机科学与工程系,郑州,450007
2. 河南机电高等专科学校计算机科学与技术系,河南新乡,453002 |
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| 基金项目： | 河南省基础与前沿技术研究 |
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| 摘 要： | 针对自组织模糊神经网络,提出了一种新的结构辨识算法.通过建立输入和输出相似性准则,提出一个用于提取模糊规则的新型聚类算法.所提方法的显著优点是克服了传统神经网络的维度灾难问题.
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| 关 键 词： | 神经网络 聚类算法 结构辨识 参数调整 |
Structure Identification Algorithm for the Self-organizing Fuzzy Neural Network |
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| LI Hao
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LIANG Juan.Structure Identification Algorithm for the Self-organizing Fuzzy Neural Network[J].Journal of Henan Normal University(Natural Science),2012,40(4):130-132. |
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| Authors: | LI Hao LIANG Juan |
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| Institution: | 1.School of Computer Science and Technology,Henan Institute of Engineering,Zhengzhou 450007China;2.Department of Computer Science and Technology,Henan Mechanical and Electrical Engineering College,Xinxiang 453002,China) |
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| Abstract: | New structure identification algorithm for the self-organizing fuzzy neural network is proposed.By consturcting the input and output similarity principle,a new clustering algorithm for extracting fuzzy rules is proposed.One of the main advantages of the proposed approach is that the problem of the curse of dimensionality for the traditional neural networks is overcome. |
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| Keywords: | Neural network clustering algorithm structure identification parameter adjustment |
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