Estimates of Rates of Approximation by Neural Networks in Lp-Spaces.

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F03%3A06030126" target="_blank" >RIV/67985807:_____/03:06030126 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Estimates of Rates of Approximation by Neural Networks in Lp-Spaces.

Original language description

We derive upper bounds on rates of convergence of neural network approximation in Lp-spaces. Our bound are based on a version of Maurey-Jones-Barron Theorem for Lp-spaces. They are established in terms of L1-norm of a weight function in a neural networkwith continuum of hidden units representing the function to be approximated.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

BA - General mathematics

OECD FORD branch

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Project

<a href="/en/project/GA201%2F02%2F0428" target="_blank" >GA201/02/0428: Nonlinear approximation with variable basis and neural networks</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2003

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Kognícia, umelý život a počítačová inteligencia.

ISBN

80-89066-64-X

ISSN

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e-ISSN

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Number of pages

4

Pages from-to

365-368

Publisher name

ELFA

Place of publication

Košice

Event location

Stará Lesná [SK]

Event date

May 14, 2003

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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