Comparison of Approximation Capabilities of Neural Networks and Linear Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F10%3A00348390" target="_blank" >RIV/67985807:_____/10:00348390 - 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
Comparison of Approximation Capabilities of Neural Networks and Linear Models
Original language description
Using method from nonlinear approximation and integral representations tailored to computational units, we describe some cases when neural networks outperform any linear approximator.
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/1M0567" target="_blank" >1M0567: Centre for Applied Cybernetics</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Informačné Technológie - Aplikácie a Teória
ISBN
978-80-970179-3-4
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
Pont
Place of publication
Seňa
Event location
Smrekovica
Event date
Sep 21, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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