Universal approximation propriety of Flexible Beta Basis Function Neural Tree

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092816" target="_blank" >RIV/61989100:27240/14:86092816 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/14:86092816
Result on the web
<a href="http://dx.doi.org/10.1109/IJCNN.2014.6889671" target="_blank" >http://dx.doi.org/10.1109/IJCNN.2014.6889671</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IJCNN.2014.6889671" target="_blank" >10.1109/IJCNN.2014.6889671</a>

Result language
angličtina
Original language name
Universal approximation propriety of Flexible Beta Basis Function Neural Tree
Original language description
In this paper, the universal approximation propriety is proved for the Flexible Beta Basis Function Neural Tree (FBBFNT) model. This model is a tree-encoding method for designing Beta basis function neural network. The performance of FBBFNT is evaluatedfor benchmark problems drawn from time series approximation area and is compared with other methods in the literature. 2014 IEEE.
Czech name
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Czech description
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Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the International Joint Conference on Neural Networks
ISBN
978-1-4799-1484-5
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
573-580
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
New York
Event location
Beijing
Event date
Jul 6, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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