212 自组织特征映射网络的结构 自组织特征映射网络（self-organizing feature maps， SOFM）是基于无监督学习方法的神经网络的一种重要类 型。
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self-organizing feature map networks 自组织特征映射网络 ; 自组织特征映射神经网络
method of self-organizing feature map 自组织特征映射法
self-organizing feature map network 自我组织特征映射图网路 ; 自组织特征映射网络
som self-organizing feature map 自组织特征映射
a self-organizing feature map 自组织特征映射
self-organizing feature map som 自组织特征映射算法
fuzzy self-organizing feature map 模糊自组织特征映射
fuzzy self organizing feature map 模糊自组织特征映射
self-organizing feature map network som 自组织特征映射网络
Then a classified frequency sensitive self-organizing feature map(CFSSOM) was proposed for the codebook training.
并对SOM算法进行了改进，提出了一种分类频率敏感自组织特征映射（CFSSOM）算法。
The self-organizing feature map (SOFM) uses weight of network to present structure of the input data and has preferable ability of classification.
自组织特征映射（SOFM）网络利用神经元权值向量表示输入数据的结构、具有较好的分类能力。
In this paper, the basic principle of the clustering algorithm based on self-organizing feature map network is discussed, and pointed out its defects.
本文讨论了基于自组织特征映射网络聚类算法的基本原理，并指出了算法的缺陷。
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