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Volumn 48, Issue 9, 2004, Pages 1387-1401

High-order fuzzy approximation by fuzzywavelet type and neural network operators

Author keywords

Fuzzy modulus of continuity; Fuzzy neural network operators; Fuzzy real analysis; Fuzzy wavelet type operators; High order fuzzy approximation; Jackson type inequalities

Indexed keywords

FUNCTIONS; FUZZY SETS; MATHEMATICAL MODELS; MATHEMATICAL OPERATORS; NEURAL NETWORKS; THEOREM PROVING; WAVELET TRANSFORMS;

EID: 16344395513     PISSN: 08981221     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.camwa.2004.10.028     Document Type: Conference Paper
Times cited : (18)

References (14)
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    • Higher order univariate wavelet type approximation
    • Marcel Dekker Boca Raton, LA
    • G.A. Anastassiou Higher order univariate wavelet type approximation Approximation Theory 1998 Marcel Dekker Boca Raton, LA 43 60
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    • Anastassiou, G.A.1
  • 3
    • 0031195377 scopus 로고    scopus 로고
    • Rate of convergence of some neural network operators to the unit-univariate case
    • G.A. Anastassiou Rate of convergence of some neural network operators to the unit-univariate case J. Math. Anal. Appl. 212 1997 237 262
    • (1997) J. Math. Anal. Appl. , vol.212 , pp. 237-262
    • Anastassiou, G.A.1
  • 4
    • 0026727494 scopus 로고
    • Approximation of a function and its derivative with a neural network
    • P. Cardaliaguet, and G. Euvrard Approximation of a function and its derivative with a neural network Neural Networks 5 1992 207 220
    • (1992) Neural Networks , vol.5 , pp. 207-220
    • Cardaliaguet, P.1    Euvrard, G.2
  • 5
    • 16344380721 scopus 로고    scopus 로고
    • Fuzzy-random neural network approximation operators
    • toappear
    • G.A. Anastassiou, Fuzzy-random neural network approximation operators, Computers Math. Applic. (toappear).
    • Computers Math. Applic.
    • Anastassiou, G.A.1
  • 6
    • 16344385222 scopus 로고    scopus 로고
    • Fuzzy approximation by fuzzy convolution type operators
    • to appear
    • G.A. Anastassiou, Fuzzy approximation by fuzzy convolution type operators, Computers Math. Applic.(to appear).
    • Computers Math. Applic.
    • Anastassiou, G.A.1
  • 7
    • 16344369681 scopus 로고    scopus 로고
    • Rate of convergence of fuzzy neural network operators, univariate case
    • G.A. Anastassiou Rate of convergence of fuzzy neural network operators, univariate case Journal of Fuzzy Mathematics 10 3 2002 755 780
    • (2002) Journal of Fuzzy Mathematics , vol.10 , Issue.3 , pp. 755-780
    • Anastassiou, G.A.1
  • 9
    • 2942649616 scopus 로고    scopus 로고
    • Approximation theory in fuzzy setting
    • G. Anastassiou Chapman & Hall CRC Press New York
    • Chapter 13 S. Gal Approximation theory in fuzzy setting G. Anastassiou Handbook of Analytic Computational Methods in Applied Mathematics 2000 Chapman & Hall CRC Press New York 617 666
    • (2000) Handbook of Analytic Computational Methods in Applied Mathematics , pp. 617-666
    • Gal, S.1
  • 11
    • 0023573517 scopus 로고
    • Fuzzy differential equations
    • O. Kaleva Fuzzy differential equations Fuzzy Sets and Systems 24 1987 301 317
    • (1987) Fuzzy Sets and Systems , vol.24 , pp. 301-317
    • Kaleva, O.1
  • 13
    • 0035371929 scopus 로고    scopus 로고
    • On Henstock integral of fuzzy number valued functions (I)
    • C. Wu, and Z. Gong On Henstock integral of fuzzy number valued functions (I) Fuzzy Sets and Systems 120 3 2001 523 532
    • (2001) Fuzzy Sets and Systems , vol.120 , Issue.3 , pp. 523-532
    • Wu, C.1    Gong, Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.