最后在完成基于SVM多类别分类的理论研究的基础上，将其理论应用于实践，构建了一个了基于SVM的网络文本分类模型。
Finally, based on basic research of multi-class categorization of SVM, the text applies the theory to practice and analyzes a web text categorization model based on SVM network.
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。
This paper proposes a text classification method based on Cloud Theory and neural network structure decision tree.
提出并实现了一种结合前馈型神经网络和K最近邻的文本分类算法。
This paper put forward and carried out a text classification method using feed-forward neural network and K-nearest neighbor.
给出一种基于多层前馈神经网络的中文文本分类模型，介绍了该模型的设计和实现。
This paper presents a text categorization model based on multilayered feedforward neutral network, and introduces the design and implementation of this model.
该文根据CH I值原理、基于R BF神经网络和决策树原理，提出了一种文本分类的新方法。
This paper presents a new method of text categorization based on the CHI value theory, RBF Neural Network and decision tree.
摘要：文本分类是信息检索和数据挖掘的基础，被广泛应用于网络数据挖掘及搜索引擎等方面。
Absrtact: Text classification is the base of information retrieval and data mining and it is widely used in web data mining and search engine.
摘要：文本分类是信息检索和数据挖掘的基础，被广泛应用于网络数据挖掘及搜索引擎等方面。
Absrtact: Text classification is the base of information retrieval and data mining and it is widely used in web data mining and search engine.
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