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 first level of our system employs the self-organizing feature map (SOFM) to map colors of image on a two dimensional feature map.
第一层结构使用自组织特征映射神经网络（SOFM）将像素映射到二维的平面上。
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。
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