| 一种T-S型动态模糊推理模型的建模算法研究 |
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| 引用本文： | 张烃,聂作先,刘建成. 一种T-S型动态模糊推理模型的建模算法研究[J]. 微电子学与计算机, 2006, 23(5): 214-216 |
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| 作者姓名： | 张烃 聂作先 刘建成 |
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| 作者单位： | 1. 中南大学信息科学与工程学院,湖南,长沙,410075
2. 中南大学信息科学与工程学院,湖南,长沙,410075;福建工程学院计算机系,福建,福州,350014 |
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| 基金项目： | 福建省教育厅科研项目;浙江省湖州市自然科学基金 |
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| 摘 要： | 以一种进化聚类算法（ECM）为基础,提出了一种新的T-S型动态模糊推理模型的建模算法.以往许多神经模糊模型都不适用于自适应在线学习,而文章模型能够实时地调整模糊规则库及规则参数,具有较强的在线学习能力.仿真结果表明,该方法是有效的.
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| 关 键 词： | 进化聚类算法 T-S模糊模型 模糊规则 在线学习 |
| 文章编号： | 1000-7180(2006)05-003 |
| 收稿时间： | 2005-07-28 |
| 修稿时间： | 2005-07-28 |
A Modeling Approach Research of T-S Type Dynamic Fuzzy Inference Model |
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| ZHANG Ting,NIE Zuo-xian,LIU Jian-cheng. A Modeling Approach Research of T-S Type Dynamic Fuzzy Inference Model[J]. Microelectronics & Computer, 2006, 23(5): 214-216 |
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| Authors: | ZHANG Ting NIE Zuo-xian LIU Jian-cheng |
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| Affiliation: | 1 School of Information Science and Engineering, Central South University, Changsha 410075 China; 2 Department of Computer Science, Fujian University of Technology, Fuzhou 350014 China |
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| Abstract: | On the basis of a evolving clustering method(ECM), a new modeling approach of T-S type dynamic fuzzy inference model is proposed. In the past, several neuro-fuzzy models are not suitable for adaptive on-line learning, but the model proposed here can real-time adjust the fuzzy rule base and rule parameters, so it has powerful ability of on-line learning. The results of simulation demonstrate the effectiveness of the proposed modeling approach. |
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| Keywords: | Evolving clustering method T-S fuzzy model Fuzzy rule On-line learning |
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