DocumentCode :
458831
Title :
A FKHP-Based Fuzzy Classification Model
Author :
Yang, Ai-Min ; Zhu, Yan-Hui ; Zhou, Yong-Mei ; Tan, Min
Author_Institution :
Dept. of Comput. Sci., Hunan Univ. of Technol., Zhuzhou
Volume :
1
fYear :
2006
fDate :
16-18 Oct. 2006
Firstpage :
248
Lastpage :
253
Abstract :
This paper introduces a FKHP-based fuzzy classification model with the proposed learning method of FKHP. For this model, the fuzzy partition and the fuzzy classification rules are automatically generated with the method of kernel function and perceptron. During constructing such model, first, patterns in the initial input space are mapped to high dimensional feature space by selecting a suitable kernel function. In the feature space, the hyper-ball which covers all training patterns of a class is founded for every class by the algorithm of FKHP. A hyper-ball is regarded as a fuzzy partition and an IF-THEN rule is created for a fuzzy partition. Experiments with the data sets of standard machine leaning database evaluate the performances of this model with comparison of experiment results of the methods of kernel hyper-ball perceptron and support vector machine. The proposed model has the fast classification training rate, better astringency and high recognition rate
Keywords :
fuzzy set theory; pattern classification; perceptrons; support vector machines; fuzzy classification; fuzzy kernel hyper-ball perceptron; fuzzy partition; high dimensional feature space; support vector machine; Fuzzy set theory; Fuzzy systems; Image recognition; Kernel; Learning systems; Partitioning algorithms; Performance evaluation; Speech recognition; Support vector machine classification; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location :
Jinan
Print_ISBN :
0-7695-2528-8
Type :
conf
DOI :
10.1109/ISDA.2006.55
Filename :
4021444
Link To Document :
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