Search results
- 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 - 2.0403757 - 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 - 3.0403755 - 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