Accuracy Estimates for Surrogate Solutions of Integral Equations by Neural Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F12%3A00374354" target="_blank" >RIV/67985807:_____/12:00374354 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Accuracy Estimates for Surrogate Solutions of Integral Equations by Neural Networks
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/OC10047" target="_blank" >OC10047: Analysis of Intelligent Computational Distributed Systems</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SOFSEM 2012: Theory and Practice of Computer Science
ISBN
978-80-87136-13-3
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
95-102
Publisher name
Institute of Computer Science AS CR
Place of publication
Prague
Event location
Špindlerův Mlýn
Event date
Jan 21, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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