PSO-based update memory for Improved Harmony Search algorithm to the evolution of FBBFNT' parameters
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092812" target="_blank" >RIV/61989100:27240/14:86092812 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/14:86092812
Result on the web
<a href="http://dx.doi.org/10.1109/CEC.2014.6900304" target="_blank" >http://dx.doi.org/10.1109/CEC.2014.6900304</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CEC.2014.6900304" target="_blank" >10.1109/CEC.2014.6900304</a>
Alternative languages
Result language
angličtina
Original language name
PSO-based update memory for Improved Harmony Search algorithm to the evolution of FBBFNT' parameters
Original language description
In this paper, a PSO-based update memory for Improved Harmony Search (PSOUM-IHS) algorithm is proposed to learn the parameters of Flexible Beta Basis Function Neural Tree (FBBFNT) model. These parameters are the Beta parameters of each flexible node andthe connected weights of the network. Furthermore, the FBBFNT's structure is generated and optimized by the Extended Genetic Programming (EGP) algorithm. The combination of the PSOUM-IHS and EGP in the same algorithm is so used to evolve the FBBFNT model. The performance of the proposed evolving neural network is evaluated for nonlinear systems of prediction and identification and then compared with those of related models. 2014 IEEE.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
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)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014
ISBN
978-1-4799-1488-3
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
1951-1958
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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