Universal Approximators.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F02%3A06020140" target="_blank" >RIV/67985807:_____/02:06020140 - 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
Universal Approximators.
Original language description
This article surveys recent developments in the mathematical theory of feedforward networks and includes proofs of the universal approximation capabilities of perceptron and RBF networks with gengeral activation and radial functions, estimates of rates of approximation and description of sets of multivariable functions that can be approximated without the 'curse of dimensionality'.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
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)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
The Handbook of Brain Theory and Neural Networks. 2nd ed.
ISBN
0-262-01197-2
Number of pages of the result
4
Pages from-to
1180-1183
Number of pages of the book
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Publisher name
The MIT Press
Place of publication
Cambridge
UT code for WoS chapter
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