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0403860 - UIVT-O 20000039 RIV FR eng C - Conference Paper (international conference)
Kůrková, Věra - Sanguineti, M.
Some Comparisons of the Worst-Case Errors in Linear and Neural Network Approximation.
Proceedings CD of the Fourteenth International Symposium of Mathematical Theory of Networks and Systems. Perpignan: Université de Perpignan, 2000, nestr.
[MTNS'2000. International Symposium of Mathematical Theory of Networks and Systems /14./. Perpignan (FR), 19.06.2000-23.06.2000]
R&D Projects: GA ČR GA201/99/0092
Grant - others:MURST(IT) 96.02472.CT07; MURST(IT) 97.00048.PF42
Institutional research plan: AV0Z1030915
Keywords : linear and neural approximation * Kolmogorov n-width * dimension-independent approximation * one-hidden-layer perceptron networks * curse of dimensionality
Subject RIV: BA - General Mathematics
Permanent Link: http://hdl.handle.net/11104/0124148