In the neural network mode classification method, one of the relatively famous methods is that "competitive learning".

神经网络模式分类方法中，比较著名的方法之一就是“竞争学习”。

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According to the characteristic of shaft-rate electric field of ships, the recognition and classification methods of ship targets based on wavelet transform and neural network were proposed.

根据舰船轴频电场信号的特点，提出了基于小波变换和神经网络的目标识别和分类方法。

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This paper reviews some optimed methods of BP neural network models, and formulates the classification of these methods. In addition, some related problems and further research work are suggested.

文中综述了BP神经网络模型的一些优化方法，并对这些方法进行了分析，最后提出了存在的问题和进一步的工作。

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