On Tractability of Neural-Network Approximation View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2009

AUTHORS

Paul C. Kainen , Věra Kůrková , Marcello Sanguineti

ABSTRACT

The tractability of neural-network approximation is investigated. The dependence of worst-case errors on the number of variables is studied. Estimates for Gaussian radial-basis-function and perceptron networks are derived.

PAGES

11-21

References to SciGraph publications

Book

TITLE

Adaptive and Natural Computing Algorithms

ISBN

978-3-642-04920-0
978-3-642-04921-7

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-04921-7_2

DOI

http://dx.doi.org/10.1007/978-3-642-04921-7_2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1024798494


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