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> Dimension-Independent Approximation by Neural Networks and Its Comparison with Linear Approximation
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Original title:
Dimension-Independent Approximation by Neural Networks and Its Comparison with Linear Approximation
Authors:
Kůrková, Věra
;
Sanguineti, M.
Document type:
Research reports
Year:
1999
Language:
eng
Series:
Technical Report
, volume: V-789
Keywords:
complexity of neural networks
;
curse of dimensionality
;
dimension-independent approximation
;
Kolmogorov width
;
linear and nonlinear approximation
;
one-hidden-layer perceptron networks
;
variation with respect to a set of functions
Project no.:
GA201/99/0092
(
CEP
)
Funding provider:
GA ČR
Rights:
This work is protected under the Copyright Act No.
121/2000
Coll.
Institution:
Institute of Computer Science AS ČR (
web
)
Original record:
http://hdl.handle.net/11104/0124021
Permalink:
http://www.nusl.cz/ntk/nusl-33857
The record appears in these collections:
Research
>
Institutes ASCR
>
Institute of Computer Science
Reports
>
Research reports
Record created 2011-07-01, last modified 2023-12-11
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