Fuzzy Kohonen network 模糊Kohonen网络
one-dimensional Kohonen network 一维Kohonen网络
KCN Kohonen Clustering Network Kohonen 聚类网络
Kohonen Clustering Network 聚类网络
Kohonen neural network Kohonen网络
Fussy Kohonen neural network 模糊Kohonen神经网络
Fuzzy kohonen neural network 模糊自组织神经网路
Dynamic Kohonen Neural Network 动态科荷伦网络
The classification of different wood materials for papermaking based on near-infrared spectroscopy and Kohonen network was carried out.
使用近红外光谱法对不同的造纸木材原料进行了快速分类与评价。
The algorithm of two-dimensional Kohonen network is improved from serval aspects such as neighborhood function, learning rate, etc. It is applied into tobacco clustering.
本章重点从邻域函数、学习率调整等方面研究了二维网络的改进算法，并将之应用于烟叶动态分类问题。
This paper proposed a new model of dynamic fuzzy Kohonen neural network (TGFCM), which was applied to the text clustering.
提出了一种新的动态模糊自组织神经网络模型(TGFCM)，并将其用于文本聚类中。
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