Monotonicity conditions for radial basis function networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00327369" target="_blank" >RIV/68407700:21230/18:00327369 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/SSCI.2018.8628878" target="_blank" >http://dx.doi.org/10.1109/SSCI.2018.8628878</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SSCI.2018.8628878" target="_blank" >10.1109/SSCI.2018.8628878</a>

Result language
angličtina
Original language name
Monotonicity conditions for radial basis function networks
Original language description
The paper presents a way how to impose monotonicity requirement on radial basis function networks. Monotonicity conditions are expressed as linear constraints on the network weights that enables efficient solving of the related optimization problems. Two illustrative examples are given to demonstrate advantages of incorporation a prior information in the form of monotonicity.
Czech name
—
Czech description
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Project
<a href="/en/project/GA18-26278S" target="_blank" >GA18-26278S: Incorporation of Prior Knowledge for Identification of Nonlinear Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the IEEE Symposium Series on Computational Intelligence 2018
ISBN
978-1-5386-9276-9
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
168-173
Publisher name
IEEE
Place of publication
Piscataway, NJ
Event location
Bangalore
Event date
Nov 18, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000459238800023

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