本文着重研究舰船雷达弱目标的模糊分类问题，讨论了利用Ｋｏｈｏｎｅｎ自组织网络来实现各类目标的二维隶属函数生成．介绍了弱目标回波特征抽取和模糊分类器的设计，并将模糊分类结果和经典的Ｋ－ＮＮ分类结果进行了比较，得到低信杂比条件下多类弱目标的良好分类效果．本文所提出的模糊分类算法具有很强的通用性． This paper focuses on the problem of the fuzzy classification of the weak target of marine radars, and discusses the generation of two-dimensional membership functions using Kohonen self-organizing network to achieve various objectives. The weak target echo feature extraction and the design of fuzzy classifier are introduced. The fuzzy classification results are compared with the classical K-NN classification results, and the good classification results of many kinds of weak targets under low signal-to-noise ratio conditions are obtained. The fuzzy classification algorithm proposed in this paper has strong versatility.