| 基于混合神经网络的模糊辨识方法 |
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| 引用本文： | 雷景生. 基于混合神经网络的模糊辨识方法[J]. 复旦学报(自然科学版), 2004, 43(5): 880-883 |
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| 作者姓名： | 雷景生 |
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| 作者单位： | 海南大学,信息科学技术学院,海口,570228 |
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| 摘 要： | 提出一种简明而有效的基于混合神经网络的模糊辨识方法．与现有方法不同，该模糊辨识方法采用自组织神经网络和模糊聚类网络两部分组成的三层神经网络来实现．实验结果表明，该方法可以为模糊建模提供好的模型结构，并具有较高的计算效率和精度．
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| 关 键 词： | 模糊聚类 模糊辨识 神经网络 系统辨识 |
| 文章编号： | 0427-7104(2004)05-0880-04 |
A Fuzzy Identification Approach Based on the Hybrid Neutral Networks |
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| LEI Jing-sheng. A Fuzzy Identification Approach Based on the Hybrid Neutral Networks[J]. Journal of Fudan University(Natural Science), 2004, 43(5): 880-883 |
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| Authors: | LEI Jing-sheng |
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| Abstract: | A simple and effective fuzzy identification approach is presented. In contrast to most existing fuzzy identification methods, this method uses a hierarchical clustering architecture based on a hybrid neural network for decreasing computational cost of fuzzy identification procedures. The experimental results show that the proposed method can provide good model structure for fuzzy modelling and has high computing efficiency. |
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| Keywords: | fuzzy clustering fuzzy identification neural network system identification |
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