Minimization of Empirical Error over Perceptron Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F05%3A00405446" target="_blank" >RIV/67985807:_____/05:00405446 - 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
Minimization of Empirical Error over Perceptron Networks
Original language description
Supervised learning by perceptron networks is investigated as an approximate minimization of empirical error functional.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA201%2F05%2F0557" target="_blank" >GA201/05/0557: Approximation and learning of multivariable functions by neural networks and kernel methods</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2005
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
3-211-24934-6
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
Springer-Verlag
Place of publication
Wien
Event location
Coimbra
Event date
Mar 21, 2005
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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