| 基于改进的模糊聚类在模糊神经网络中的应用 |
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| 引用本文： | 王玲,贺兴时.基于改进的模糊聚类在模糊神经网络中的应用[J].大理学院学报,2008,7(4):39-41. |
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| 作者姓名： | 王玲 贺兴时 |
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| 作者单位： | 西安工程大学理学院,陕西,西安,710048 |
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| 摘 要： | 将基于粒子群的模糊C均值聚类应用于模糊神经网络中规则库的生成及优化中。避免了传统模糊C均值聚类用于对输入变量空间进行划分并生成初始规则库的盲目性和随机性。
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| 关 键 词： | 模糊神经网络 模糊C均值聚类 粒子群算法 模糊规则库 |
| 文章编号： | 1672-2345(2008)04-0039-03 |
| 修稿时间： | 2008年1月17日 |
Application of the Fuzzy Neural Network Based on Improved Fuzzy Clustering |
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| WANG Ling,HE Xing-shi.Application of the Fuzzy Neural Network Based on Improved Fuzzy Clustering[J].Journal of Dali University,2008,7(4):39-41. |
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| Authors: | WANG Ling HE Xing-shi |
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| Institution: | (School of Science, Xi＇an Polytechnic University, Xi＇an 710048, China) |
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| Abstract: | This paper explored the Fuzzy Neural Network Based on improved Fuzzy clustering in the rule of the Generation and Optimization.Blindness and randomness were avoided when the traditional fuzzy c-means clustering was used to input variable space of and generate the initial rule base. |
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| Keywords: | FNN FCM PSO fuzzy rules |
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