Počet záznamů: 1
Tight Bounds on Rates of Neural-Network Approximation
- 1.0404319 - UIVT-O 20010102 RIV AT eng C - Konferenční příspěvek (zahraniční konf.)
Kůrková, Věra - Sanguineti, M.
Tight Bounds on Rates of Neural-Network Approximation.
Artificial Neural Networks - ICANN'2001. Berlin: Springer-Verlag, 2001 - (Dorffner, G.; Bischof, H.; Hornik, K.), s. 277-282. Lecture Notes in Computer Science, 2130. ISBN 3-540-42486-5. ISSN 0302-9743.
[ICANN 2001 International Conference on Artificial Neural Networks /11./. Vienna (AT), 21.08.2001-25.08.2001]
Grant CEP: GA ČR GA201/00/1489
Výzkumný záměr: AV0Z1030915
Klíčová slova: complexity of neural networks * rates of approximation * perceptron networks
Kód oboru RIV: BA - Obecná matematika
Complexity of neural networks measured by the number of hidden units is studied in terms of rates of approximation. Limitations of improvements of upper bounds of the order of O(n exp(-1/2)) on such rates are investigated for perceptron networks with some periodic and some sigmoidal activation functions.
Trvalý link: http://hdl.handle.net/11104/0124578
Počet záznamů: 1