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Volumn 6178 LNAI, Issue , 2010, Pages 340-349

Granular approach for evolving system modeling

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ERRORS; ECONOMIC TIME SERIES; EVOLVING SYSTEMS; INTERVAL ANALYSIS; KEY FEATURE; MODEL PARAMETERS; NONSTATIONARY; PROCESS STREAMS; REAL TIME; ROUNDING ERRORS; SINGULAR DATA;

EID: 77954882995     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-14049-5_35     Document Type: Conference Paper
Times cited : (25)

References (18)
  • 1
    • 0742272554 scopus 로고    scopus 로고
    • An approach to online identification of Takagi-Sugeno fuzzy models
    • Angelov, P., Filev, D.: An approach to online identification of Takagi-Sugeno fuzzy models. IEEE Transactions on SMC - Part B 34(1), 484-498 (2004)
    • (2004) IEEE Transactions on SMC - Part B , vol.34 , Issue.1 , pp. 484-498
    • Angelov, P.1    Filev, D.2
  • 2
    • 58149524918 scopus 로고    scopus 로고
    • Evolving fuzzy rule-based classifiers from data streams
    • Angelov, P., Zhou, X.: Evolving Fuzzy Rule-Based Classifiers from Data Streams. IEEE Transactions on Fuzzy Systems 16(6), 1462-1475 (2008)
    • (2008) IEEE Transactions on Fuzzy Systems , vol.16 , Issue.6 , pp. 1462-1475
    • Angelov, P.1    Zhou, X.2
  • 3
    • 0034187078 scopus 로고    scopus 로고
    • General fuzzy min-max neural network for clustering and classification
    • Gabrys, B., Bargiela, A.: General fuzzy min-max neural network for clustering and classification. IEEE Trans. on Neural Networks 11(3), 769-783 (2000)
    • (2000) IEEE Trans. on Neural Networks , vol.11 , Issue.3 , pp. 769-783
    • Gabrys, B.1    Bargiela, A.2
  • 9
    • 58149500793 scopus 로고    scopus 로고
    • Guest ed. evolving fuzzy systems - Preface to the special sec
    • Angelov, P., Filev, D., Kasabov, N.: Guest ed. Evolving Fuzzy Systems - Preface to the Special Sec. IEEE Trans. on Fuzzy Systems 6(6), 1390-1392 (2008)
    • (2008) IEEE Trans. on Fuzzy Systems , vol.6 , Issue.6 , pp. 1390-1392
    • Angelov, P.1    Filev, D.2    Kasabov, N.3
  • 12
    • 0004293209 scopus 로고
    • Prentice Hall, Englewood Cliffs
    • Moore, R.E.: Interval Analysis, 145 p. Prentice Hall, Englewood Cliffs (1966)
    • (1966) Interval Analysis , pp. 145
    • Moore, R.E.1
  • 13
    • 77954875979 scopus 로고    scopus 로고
    • Interval computations and interval-related statistical techniques
    • Springer, Heidelberg
    • Kreinovich, V.: Interval computations and interval-related statistical techniques. In: Adv. in Data Modeling for Meas. in the Metrology, pp. 119-147. Springer, Heidelberg (2008)
    • (2008) Adv. in Data Modeling for Meas. in the Metrology , pp. 119-147
    • Kreinovich, V.1
  • 14
    • 0000820904 scopus 로고    scopus 로고
    • Interval arithmetic: From principles to implementation
    • Hickey, T., Ju, Q., van Emden, M.H.: Interval Arithmetic: From Principles to Implementation. Journal of the ACM 48(5), 1038-1068 (2001)
    • (2001) Journal of the ACM , vol.48 , Issue.5 , pp. 1038-1068
    • Hickey, T.1    Ju, Q.2    Van Emden, M.H.3
  • 15
    • 0004255908 scopus 로고    scopus 로고
    • 1st edn. McGraw Hill, New York
    • Mitchell, T.: Machine Learning, 1st edn., 414 p. McGraw Hill, New York (1997)
    • (1997) Machine Learning , pp. 414
    • Mitchell, T.1
  • 18
    • 1642469977 scopus 로고    scopus 로고
    • Towards a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic
    • Zadeh, L.A.: Towards a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic. Fuzzy Sets Sys. 90(2), 111-127 (1997)
    • (1997) Fuzzy Sets Sys. , vol.90 , Issue.2 , pp. 111-127
    • Zadeh, L.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.