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A Hybrid Classifier Based on the Rough Sets and RBF Neural Networks |
Bai Rujiang |
(Library of Shandong University of Technology, Zibo 255049,China) |
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Abstract This paper presentes a new hybrid classifier based on the combination of rough set theory and RBF neural network. Experimental results show that the algorithm Rough-RBF is effective for the texts classification, and has the better performance in classification precision, stability and fault-tolerance comparing with the traditional classification methods, Bayesian classifiers SVM and kNN, especially for the complex classification problems with many feature vectors.
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Received: 21 March 2006
Published: 25 June 2006
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Corresponding Authors:
Bai Rujiang
E-mail: brj@sdut.edu.cn
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About author:: Bai Rujiang |
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