Surrogate Modelling of 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%3A00379775" target="_blank" >RIV/67985807:_____/12:00379775 - 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
Surrogate Modelling of Solutions of Integral Equations by Neural Networks
Original language description
Surrogate modelling of solutions of integral equations by neural networks is investigated theoretically. Estimates of speed of convergence of suboptimal surrogate solutions to 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
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
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
Artificial Intelligence Applications and Innovations
ISBN
978-3-642-33408-5
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
88-96
Publisher name
Springer
Place of publication
Heidelberg
Event location
Halkidiki
Event date
Sep 27, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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