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Volumn , Issue , 2008, Pages 969-975

Evolutionary learning of flexible neuro-fuzzy systems

Author keywords

[No Author keywords available]

Indexed keywords

AGGLOMERATION; CONCRETE CONSTRUCTION; EVOLUTIONARY ALGORITHMS; FUZZY LOGIC; FUZZY SYSTEMS; MEMBERSHIP FUNCTIONS;

EID: 55249100265     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2008.4630487     Document Type: Conference Paper
Times cited : (10)

References (18)
  • 2
    • 55249111379 scopus 로고    scopus 로고
    • E. Czogala, J. Łȩski, Fuzzy and Neuro-Fuzzy Intelligent Systems, Physica-Verlag, A Springer-Verlag Company, Heidelberg, New York, 2000.
    • E. Czogala, J. Łȩski, Fuzzy and Neuro-Fuzzy Intelligent Systems, Physica-Verlag, A Springer-Verlag Company, Heidelberg, New York, 2000.
  • 4
    • 44949271432 scopus 로고
    • On fuzzy implication
    • C. Fodor, On fuzzy implication, Fuzzy Sets and Systems, vol. 42, pp. 293-300, 1991.
    • (1991) Fuzzy Sets and Systems , vol.42 , pp. 293-300
    • Fodor, C.1
  • 6
    • 33746262969 scopus 로고    scopus 로고
    • Evolutionary Learning of Mamdani-Type Neuro-fuzzy Systems, Artificial Intelligence and Soft Computing - ICAISC 2006: 8th International Conference, Zakopane, Poland, June 25-29
    • M. Gabryel, L. Rutkowski, Evolutionary Learning of Mamdani-Type Neuro-fuzzy Systems, Artificial Intelligence and Soft Computing - ICAISC 2006: 8th International Conference, Zakopane, Poland, June 25-29, 2004. Proceedings, 354-359 (2006).
    • (2006) 2004. Proceedings , pp. 354-359
    • Gabryel, M.1    Rutkowski, L.2
  • 10
    • 0034187785 scopus 로고    scopus 로고
    • Neuro-fuzzy rule generation: Survey in soft computing framework
    • May
    • S. Mitra, and Y. Hayashi, "Neuro-fuzzy rule generation: survey in soft computing framework," IEEE Trans. Neural Networks, vol. 11, pp. 748-768, May 2000.
    • (2000) IEEE Trans. Neural Networks , vol.11 , pp. 748-768
    • Mitra, S.1    Hayashi, Y.2
  • 14
    • 14644433722 scopus 로고    scopus 로고
    • Designing and learning of adjustable quasi triangular norms with applications to neuro fuzzy systems
    • Feb
    • L. Rutkowski and K. Cpałka, Designing and learning of adjustable quasi triangular norms with applications to neuro fuzzy systems, IEEE Trans. on Fuzzy Systems, vol. 13, Feb 2005, pp. 140 151.
    • (2005) IEEE Trans. on Fuzzy Systems , vol.13 , pp. 140-151
    • Rutkowski, L.1    Cpałka, K.2
  • 16
    • 55249102249 scopus 로고    scopus 로고
    • UCI respository of machine learning databases, Available online
    • UCI respository of machine learning databases, Available online: http://ftp.ics.uci.edu/pub/machine-learning-databases/.
    • g-databases


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.