Implementation of Kolmogorov Learning Algorithm for Feedforward Neural Networks.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F01%3A06010065" target="_blank" >RIV/67985807:_____/01:06010065 - 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
Implementation of Kolmogorov Learning Algorithm for Feedforward Neural Networks.
Original language description
We present a learning algorithm for feedforward neural networks that is based on Kolmogorov theorem concerning composition of n-dimensional countinuous function from one-dimensional continuous functions. A through analysis of the algorithm time complexity is presented together with serial and parallel implementation examples.
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
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2001
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings. Part II.
ISBN
3-540-42233-1
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
986-995
Publisher name
Springer
Place of publication
Berlin
Event location
San Francisco [US]
Event date
May 28, 2001
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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