Learning of Radial Basis Function Networks: Experimental Results.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F02%3A06020210" target="_blank" >RIV/67985807:_____/02:06020210 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Learning of Radial Basis Function Networks: Experimental Results.
Original language description
We present various learning methods for RBF networks. The standard gradient-based learning is augmented by the weighted norm adaptation. The three-step learning algorithm uses different unsupervised learning algorithms for setting the centroids. Two possible combinations with genetic learning algorithm are considered as well. All learning variants are thoroughly compared on two benchmark tasks.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
BA - General mathematics
OECD FORD branch
—
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Recent Advances in Computers, Computing and Communications.
ISBN
960-8052-62-9
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
241-246
Publisher name
World Scientific and Engineering Society Press
Place of publication
N/A
Event location
Rethymno [GR]
Event date
Jul 7, 2002
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—