Search results

  1. 1.
    0404817 - UIVT-O 20030182 RIV NL eng M - Monography Chapter
    Kůrková, Věra
    High-Dimensional Approximation by Neural Networks.
    Advances in Learning Theory: Methods, Models and Applications. Amsterdam: IOS Press, 2003 - (Suykens, J.; Horváth, G.; Basu, S.; Micchelli, C.; Vandewalle, J.), s. 69-88. NATO Science Series, 190. ISBN 1-58603-341-7
    R&D Projects: GA ČR GA201/02/0428
    Institutional research plan: AV0Z1030915
    Keywords : neural network learning * regularized empirical error functions * high-dimensional approximation
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0125050
     
     
  2. 2.
    0403757 - UIVT-O 20030111 RIV CZ cze M - Monography Chapter
    Kůrková, Věra
    Aproximace funkcí neuronovými sítěmi.
    [Approximation of Functions by Neural Networks.]
    Umělá inteligence 4. Praha: Academia, 2003 - (Mařík, M.; Štěpánková, O.; Lažanský, J.), s. 254-275. ISBN 80-200-1044-0
    R&D Projects: GA ČR GA201/02/0428; GA ČR GA201/99/0092
    Institutional research plan: AV0Z1030915
    Keywords : neural networks * universal approximation * complexity
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0124049
     
     
  3. 3.
    0403755 - UIVT-O 20020140 RIV GB eng M - Monography Chapter
    Kůrková, Věra
    Universal Approximators.
    The Handbook of Brain Theory and Neural Networks. 2nd ed. Vol. 3. Cambridge: The MIT Press, 2002 - (Arbib, M.), s. 1180-1183. ISBN 0-262-01197-2
    R&D Projects: GA ČR GA201/99/0092; GA ČR GA201/02/0428
    Keywords : universal approximation property * rates of approximation * curse of dimensionality
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0124047
     
     


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