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Accuracy Estimates for Surrogate Solutions of Integral Equations by Neural Networks
- 1.0374354 - ÚI 2012 RIV CZ eng C - Conference Paper (international conference)
Kůrková, Věra
Accuracy Estimates for Surrogate Solutions of Integral Equations by Neural Networks.
SOFSEM 2012: Theory and Practice of Computer Science. Vol. 2. Prague: Institute of Computer Science AS CR, 2012 - (Bieliková, M.; Friedrich, G.; Gottlob, G.; Katzenbeisser, S.; Špánek, R.; Turán, G.), s. 95-102. ISBN 978-80-87136-13-3.
[SOFSEM 2012. Conference on Current Trends in Theory and Practice of Computer Science /38./. Špindlerův Mlýn (CZ), 21.01.2012-27.01.2012]
R&D Projects: GA MŠMT OC10047
Institutional research plan: CEZ:AV0Z10300504
Keywords : surrogate solutions by neural networks * Fredholm integral equations * network complexity
Subject RIV: IN - Informatics, Computer Science
Surrogate solutions of integral equations by neural networks are investigated theoretically. Upper bounds on speed of convergence of approximate solutions computable by neural networks with increasing model complexity to exact solutions described by Fredholm theorem are derived.
Permanent Link: http://hdl.handle.net/11104/0207300
Number of the records: 1