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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