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Bounds for Approximate Solutions of Fredholm Integral Equations Using Kernel Networks
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SYSNO ASEP 0359504 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Bounds for Approximate Solutions of Fredholm Integral Equations Using Kernel Networks Author(s) Gnecco, G. (IT)
Kůrková, Věra (UIVT-O) RID, SAI, ORCID
Sanguineti, M. (IT)Source Title Artificial Neural Networks and Machine Learning - ICANN 2011. Part I. - Berlin : Springer, 2011 / Honkela T. ; Duch W. ; Girolami M. ; Kaski S. - ISSN 0302-9743 - ISBN 978-3-642-21734-0 Pages s. 126-133 Number of pages 8 s. Action ICANN 2011. International Conference on Artificial Neural Networks /21./ Event date 14.07.2011-17.07.2011 VEvent location Espoo Country FI - Finland Event type WRD Language eng - English Country DE - Germany Keywords radial and kernel networks ; approximation of solutions of integral equations by kernel networks ; model complexity Subject RIV IN - Informatics, Computer Science R&D Projects GAP202/11/1368 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10300504 - UIVT-O (2005-2011) UT WOS 000296364500016 EID SCOPUS 79959370493 DOI 10.1007/978-3-642-21735-7_16 Annotation Approximation of solutions of integral equations by networks with kernel units is investigated theoretically. There are derived upper bounds on speed of decrease of errors in approximation of solutions of Fredholm integral equations by kernel networks with increasing numbers of units. The estimates are obtained for Gaussian and degenerate kernels. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2012
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