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

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。

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

这里介绍一种利用自组织神经网络识别曲线形态的方法。

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This paper presents an improved self-organizing neural network model to predict the trend of infectious diseases because a number of factors should be considered.

针对传染病发病趋势的预测需要考虑许多因素的特点，提出了用改进的自组织神经网络方法对传染病发病趋势进行预测。

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