Accuracy of surrogate solutions of integral equations by feedforward networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F14%3A00398349" target="_blank" >RIV/67985807:_____/14:00398349 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-03206-1_7" target="_blank" >http://dx.doi.org/10.1007/978-3-319-03206-1_7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-03206-1_7" target="_blank" >10.1007/978-3-319-03206-1_7</a>
Alternative languages
Result language
angličtina
Original language name
Accuracy of surrogate solutions of integral equations by feedforward networks
Original language description
Surrogate solutions of Fredholm integral equations by feedforward neural networks are investigated theoretically. Convergence of surrogate solutions computable by networks with increasing numbers of computational units to theoretically optimal solutionsis proven and upper bounds on rates of convergence are derived. The results hold for a variety of computational units, they are illustrated by examples of perceptrons and Gaussian radial units.
Czech name
—
Czech description
—
Classification
Type
C - Chapter in a specialist book
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Issues and Challenges of Intelligent Systems and Computational Intelligence
ISBN
978-3-319-03205-4
Number of pages of the result
12
Pages from-to
91-102
Number of pages of the book
319
Publisher name
Springer
Place of publication
Cham
UT code for WoS chapter
—