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Volumn , Issue , 2006, Pages 1381-1387

An efficient approach for the design of transparent fuzzy rule-based classifiers

Author keywords

[No Author keywords available]

Indexed keywords

EXPANDABILITY; FUZZY CLASSIFICATION ALGORITHMS; HIGH LEVEL OF ACCURACY;

EID: 34250764130     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2006.1681890     Document Type: Conference Paper
Times cited : (4)

References (23)
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    • Abonyi, J.1    Roubos, J.A.2    Szeifert, F.3
  • 10
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    • Ishibuchi, H.1    Yamamoto, T.2
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    • Wrappers for feature subset selection
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    • Kohavi, R.1    John, G.H.2
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    • F. Hussein, R. K. Ward, and N. N. Kharma, Genetic Algorithms for Feature Selection and Weighting, A Review and Study, presented at ICDAR 2001, 2001.
    • F. Hussein, R. K. Ward, and N. N. Kharma, "Genetic Algorithms for Feature Selection and Weighting, A Review and Study," presented at ICDAR 2001, 2001.
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    • W. H. Wolberg and O. L. Mangasarian, "Multisurface method of pattern separation for medical diagnosis applied to breast cytology," in Proceedings of the National Academy of Sciences, vol. 87. U.S.A., 1990, pp. 9193-9196.
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    • Wolberg, W.H.1    Mangasarian, O.L.2
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    • Analysis of Hidden Units in a Layered Network Trained to Classify Sonar Targets
    • R. P. Gorman and T. J. Sejnowski, "Analysis of Hidden Units in a Layered Network Trained to Classify Sonar Targets," Neural Networks, vol. 1, pp. 75-89, 1988.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.