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0398349 - ÚI 2014 RIV DE eng M - Monography Chapter
Kůrková, Věra
Accuracy of surrogate solutions of integral equations by feedforward networks.
Issues and Challenges of Intelligent Systems and Computational Intelligence. Cham: Springer, 2014 - (Kóczy, L.; Pozna, C.; Kacprzyk, J.), s. 91-102. Studies in Computational Intelligence, 530. ISBN 978-3-319-03205-4
R&D Projects: GA ČR GAP202/11/1368; GA MŠMT(CZ) LD13002
Institutional support: RVO:67985807
Keywords : surrogate modeling by neural networks * approximate solutions of integral equations * feedforward neural networks * model complexity * rates of approximation
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0225861
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0389184 - ÚI 2014 RIV DE eng M - Monography Chapter
Kainen, P.C. - Kůrková, Věra - Sanguineti, M.
Approximating Multivariable Functions by Feedforward Neural Nets.
Handbook on Neural Information Processing. Berlin: Springer, 2013 - (Bianchini, M.; Maggini, M.; Jain, L.), s. 143-181. Intelligent Systems Reference Library, 49. ISBN 978-3-642-36656-7
R&D Projects: GA ČR GAP202/11/1368; GA MŠMT(CZ) ME10023
Grant - others:CNR-AV ČR(CZ) Project 2010–2012 “Complexity of Neural-Network and Kernel Computational Models
Institutional support: RVO:67985807
Keywords : multivariable approximation * feedforward neural networks * network complexity * approximation rates * variational norm * best approximation * tractability of approximation
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0218068