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 自组织特征映射神经网络 ; 自组织特征映射网络 self-organizing fuzzy neural networks 一种自组织模糊神经网络 ; 自组织模糊神经网络 ..
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提出一种量子自组织特征映射网络模型及聚类算法。
A quantum self-organization feature mapping networks model and its clustering algorithm are presented.
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。
In this paper, the basic principle of the clustering algorithm based on self-organizing feature map network is discussed, and pointed out its defects.
本文研究了多层感知器、径向基函数网络、学习向量量化网络和自组织特征映射网络等四种神经网络在回转窑火焰图像分割中的应用。
In this paper, four neural networks, i. e. multi layer perception, radial basis function, learning vector quantization and self organizing feature mapping, are used to segment the flame image.
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