This paper proposes a text classification method based on Cloud Theory and neural network structure decision tree.

提出一种基于云理论和神经网络构造决策树的文本分类方法。

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It adopts cloud neural network to study the cloud mapping relationship between variables, so as to generate cloud decision tree.

运用云神经网络学习变量间的云映射关系，从中生成云决策树。

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By using neural networks as the approach for whitening system cloud gray model, the system cloud gray neural network models SCGNNM (1, 1), were proposed in this paper.

利用人工神经网络的方法实现系统云灰色模型的参数白化，提出了系统云灰色神经网络模型SCGNNM(1,1)，并给出了相应的学习算法。

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