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Volumn 34, Issue 3-4, 1998, Pages 214-223

Weak Convergence of Cardaliaguet-Euvrard Neural Network Operators Studied Asymptotically

Author keywords

asymptotic expansion; Neural network; rate of convergence; weak convergence

Indexed keywords


EID: 84885450314     PISSN: 14226383     EISSN: 14209012     Source Type: Journal    
DOI: 10.1007/BF03322052     Document Type: Article
Times cited : (1)

References (3)
  • 1
    • 0007317350 scopus 로고
    • Wavelet approximation of deterministic and random signals, convergence properties and rates
    • Dept. of Statistics, Univ. North Carolina, Chapel Hill, NC
    • Cambanis, S. and Masry E., Wavelet approximation of deterministic and random signals, convergence properties and rates, Technical Report NO. 352, Dept. of Statistics, Univ. North Carolina, Chapel Hill, NC, November 1991.
    • (1991) Technical Report NO. 352
    • Cambanis, S.1    Masry, E.2
  • 2
    • 0026727494 scopus 로고
    • Approximation of a function and its derivative with a neural network
    • Cardaliaguet, P. and Euvrard, G., Approximation of a function and its derivative with a neural network, Neural Networks, 5(1992), 207–220, 1992.
    • (1992) Neural Networks , vol.5 , Issue.1992 , pp. 207-220
    • Cardaliaguet, P.1    Euvrard, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.