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Volumn 4029 LNAI, Issue , 2006, Pages 182-191

A genetic-programming-based approach for the learning of compact fuzzy rule-based classification systems

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER PROGRAMMING; FEATURE EXTRACTION; KNOWLEDGE ACQUISITION; LEARNING ALGORITHMS; PROBLEM SOLVING;

EID: 33746263175     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11785231_20     Document Type: Conference Paper
Times cited : (8)

References (21)
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  • 2
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  • 5
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    • Evolving fuzzy based classifiers with GA-P: A grammatical approach
    • Genetic Programming: Second European Workshop, EuroGP'99
    • García S., González F., Sánchez L.: Evolving fuzzy based classifiers with GA-P: A grammatical approach. Lecture Notes in Computer Science, Vol. 1598. Genetic Programming: Second European Workshop, EuroGP'99 (1999) 203-210
    • (1999) Lecture Notes in Computer Science , vol.1598 , pp. 203-210
    • García, S.1    González, F.2    Sánchez, L.3
  • 8
    • 0033116171 scopus 로고    scopus 로고
    • SLAVE: A genetic learning system based on an iterative approach
    • González A. Pérez R.: SLAVE: A genetic learning system based on an iterative approach. IEEE Transactions on Fuzzy Systems 27 (1999) 176-191
    • (1999) IEEE Transactions on Fuzzy Systems , vol.27 , pp. 176-191
    • González, A.1    Pérez, R.2
  • 9
    • 0002197262 scopus 로고
    • Distributed representation of fuzzy rules and its application to pattern classification
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    • (1992) Fuzzy Sets and Systems , vol.52 , pp. 21-32
    • Ishibuchi, H.1    Nozaki, K.2    Tanaka, H.3
  • 10
    • 0029359001 scopus 로고
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    • Ishibuchi H., Nozaki K., Yamamoto N., Tanaka N.: Selecting fuzzy if-then rules for classification problems using genetic algorithms. IEEE Trans. Fuzzy Systems 3:3 (1995) 260-270
    • (1995) IEEE Trans. Fuzzy Systems , vol.3 , Issue.3 , pp. 260-270
    • Ishibuchi, H.1    Nozaki, K.2    Yamamoto, N.3    Tanaka, N.4
  • 13
  • 14
    • 75149189017 scopus 로고    scopus 로고
    • Discovering fuzzy classification rules with genetic programming and co-evolution
    • Principles of Data Mining and Knowledge Discovery: 5th European Conference (PKDD'01). Springer-Verlag
    • Mendes R.R.F., Voznika F. de B., Freitas A.A., Nievola J.C.: Discovering Fuzzy Classification Rules with Genetic Programming and Co-evolution. Principles of Data Mining and Knowledge Discovery: 5th European Conference (PKDD'01). Springer-Verlag. Lecture Notes in Computer Science, Vol. 2168 (2001) 314
    • (2001) Lecture Notes in Computer Science , vol.2168 , pp. 314
    • Mendes, R.R.F.1    De Voznika, F.B.2    Freitas, A.A.3    Nievola, J.C.4
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    • Pattern classification with principal component analysis and fuzzy rule bases
    • Ravi V., Reddy P.J., Zimmermann H.J.: Pattern classification with principal component analysis and fuzzy rule bases. European Journal of Operational Research 126:3 (2000) 526-533
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    • Ravi, V.1    Reddy, P.J.2    Zimmermann, H.J.3
  • 17
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    • Fuzzy rule based classification with FeatureSelector and modified threshold accepting
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.