| 基于规则的T-S模糊神经网络 |
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| 引用本文： | 吴晓蓓,徐志良,郁炜青. 基于规则的T-S模糊神经网络[J]. 南京理工大学学报(自然科学版), 1999, 23(6): 2-493 |
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| 作者姓名： | 吴晓蓓 徐志良 郁炜青 |
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| 作者单位： | 南京理工大学信息学院,南京,210094 |
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| 摘 要： | 该文提出了一种基于规则的Ｔ－ Ｓ模糊神经网络的结构和相应的算法。首先用自组织算法对学习数据进行聚类生成一组初始的模糊规则，然后用误差反传法细调网络参数，通过仿真验证，该模糊神经网络具有结构简单，拟合精度高等优点。
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| 关 键 词： | 神经网络 模糊推理 控制 |
| 修稿时间： | 1999－07－05 |
Rules-based T-S Fuzzy Neural Network |
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| Wu Xiaobei,Xu Zhiliang,Yu Weiqing. Rules-based T-S Fuzzy Neural Network[J]. Journal of Nanjing University of Science and Technology(Nature Science), 1999, 23(6): 2-493 |
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| Authors: | Wu Xiaobei Xu Zhiliang Yu Weiqing |
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| Abstract: | In this paper,a rules based T S fuzzy neural network and its algorithm are presented.First,a group of initial fuzzy rules are produced using self organizing algorithm to cluster learning data.Then error back propagation algorithm is introduced to adjust the network parameters.The simulation results demonstrate that the fuzzy neural network has the advantages of simple structure and the high fitting accuracy. |
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| Keywords: | neural networks fuzzy reasoning control |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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