提出一个层次自组织神经网络模型，并将其应用于基于事件识别的轨迹分布模式学习中。

This paper presents a hierarchical self organizing neural network model and its application in the learning of the trajectory distribution patterns for event recognition.

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提出了一种新的动态模糊自组织神经网络模型(TGFCM)，并将其用于文本聚类中。

This paper proposed a new model of dynamic fuzzy Kohonen neural network (TGFCM), which was applied to the text clustering.

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引入扩散生长型自组织神经网络模型（DGSOM）算法，在深入研究LLE的基础上提出了新的自组织LLE算法并给出理论分析。

Introducing diffusing and growing self-organizing maps (DGSOM), we propose a new algorithm called self-organized LLE and give some theoretical analysis.

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