| 模糊自组织特征映射模型 |
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| 引用本文： | 胡卫东 罗爱民. 模糊自组织特征映射模型[J]. 模糊系统与数学, 1998, 12(1): 88-94 |
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| 作者姓名： | 胡卫东 罗爱民 |
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| 作者单位： | [1]国防科技大学自动目标识别国家重点实验室 [2]国防科技大学系统工程与数学系 |
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| 摘 要： | 本文提出了一种模糊自组织特征映射模型算法，它将模糊ｃ－均值模型结合到Ｋｏｈｏｎｅｎ自组织算法的学习和更新策略中，从而将神经元的侧抑制作用与模糊控制策略有机地结合起来；不仅实现了关于模糊ｃ－均值的优化问题，而且还通过隶属函数的重新构造最终构成了自组织有序拓扑图。仿真结果表明收敛性得到了很大提高。
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| 关 键 词： | c－均值 模糊控制 自组织算法 神经网络 FSOM |
A FUZZY SELF-ORGANIZING MAPPING MODEL |
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| Hu Weidong,Yu Wenxian,Luo Yanni and Luo Aimin. A FUZZY SELF-ORGANIZING MAPPING MODEL[J]. Fuzzy Systems and Mathematics, 1998, 12(1): 88-94 |
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| Authors: | Hu Weidong Yu Wenxian Luo Yanni Luo Aimin |
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| Abstract: | A fuzzy self-organizing mapping model is proposed which integrated the Fuzzy c-Means model (FCM ) into the learning rate and updating strategies of the Kohonen networks. This yields an optimization problem related to FCM by combining the lateral interactions among the neurons and fuzzy control strategy into the model. Furthermore a self-organizing order- ing mapping is achieved by reproducing the membership of weight vectors. The numerical results show improved convergence compared with the standard Konhonen approach . |
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| Keywords: | C-Means Fuzzy control Self-roganizing Lateral interactions |
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