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Volumn 101, Issue 1-4, 2001, Pages 143-147

Continuity of Approximation by Neural Networks in Lp Spaces

Author keywords

Boundedly compact; Chebyshev set; Continuous selection; Near best approximation; Strictly convex space

Indexed keywords


EID: 0043289787     PISSN: 02545330     EISSN: 15729338     Source Type: Journal    
DOI: 10.1023/A:1010916406274     Document Type: Article
Times cited : (17)

References (7)
  • 4
    • 0040063783 scopus 로고    scopus 로고
    • Continuities of metric projections and geometric consequences
    • R. Huotari and W. Li, Continuities of metric projections and geometric consequences, J. Approx. Theory 90 (1997) 319-339.
    • (1997) J. Approx. Theory , vol.90 , pp. 319-339
    • Huotari, R.1    Li, W.2
  • 5
    • 0344993943 scopus 로고    scopus 로고
    • Approximation by neural networks is not continuous
    • P.C. Kainen, V. Kůrková and A. Vogt, Approximation by neural networks is not continuous, Neurocomputing 29 (1999) 47-56.
    • (1999) Neurocomputing , vol.29 , pp. 47-56
    • Kainen, P.C.1    Kůrková, V.2    Vogt, A.3
  • 6
    • 0008241587 scopus 로고    scopus 로고
    • Geometry and topology of continuous best and near best approximations
    • P.C. Kainen, V. Kůrková and A. Vogt, Geometry and topology of continuous best and near best approximations, J. Approx. Theory 105 (2000) 252-262.
    • (2000) J. Approx. Theory , vol.105 , pp. 252-262
    • Kainen, P.C.1    Kůrková, V.2    Vogt, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.