On Tractability of Neural-Network Approximation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F09%3A00326645" target="_blank" >RIV/67985807:_____/09:00326645 - 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
On Tractability of Neural-Network Approximation
Original language description
The tractability of neural-network approximation is investigated. The dependence of worst-case errors on the number of variables is studied. Estimates for Gaussian radial-basis-function and perceptron networks 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/1ET100300517" target="_blank" >1ET100300517: Methods for Intelligent Systems and Their Applications in Datamining and Natural Language Processing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Adaptive and Natural Computing Algorithms
ISBN
978-3-642-04920-0
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
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Publisher name
Springer
Place of publication
Berlin
Event location
Kuopio
Event date
Apr 23, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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