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。
The RBF network possesses the advantages of Kohonen and regression networks. A test was performed to prove the effectiveness of RBF to complement the incomplete spatial information.
利用径向基人工神经网络（RBF）同时具有自组织神经网络和回归网络的优点，可以对缺失数据进行预测。
The RBF network possesses the advantages of Kohonen and regression networks. A test was performed to prove the effectiveness of RBF to complement the incomplete spatial information.
利用径向基人工神经网络（RBF）同时具有自组织神经网络和回归网络的优点，可以对缺失数据进行预测。
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