Extended Immune Programming and Opposite- based PSO for Evolving Flexible Beta Basis Function Neural Tree
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F13%3A86089372" target="_blank" >RIV/61989100:27740/13:86089372 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27240/13:86092861 RIV/61989100:27740/13:86092861
Result on the web
<a href="http://dx.doi.org/10.1109/CYBConf.2013.6617425" target="_blank" >http://dx.doi.org/10.1109/CYBConf.2013.6617425</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CYBConf.2013.6617425" target="_blank" >10.1109/CYBConf.2013.6617425</a>
Alternative languages
Result language
angličtina
Original language name
Extended Immune Programming and Opposite- based PSO for Evolving Flexible Beta Basis Function Neural Tree
Original language description
In this paper, a new hybrid learning algorithm based on the global optimization techniques, is introduced to evolve the Flexible Beta Basis Function Neural Tree (FBBFNT). The structure is developed using the Extended Immune Programming (EIP) and the Betaparameters and connected weights are optimized using the Opposite-based Particle Swarm Optimization (OPSO) algorithm. The performance of the proposed method is evaluated for time series prediction area and is compared with those of associated methods.
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
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2013 IEEE International Conference on Cybernetics, CYBCONF 2013
ISBN
978-1-4673-6469-0
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
13-18
Publisher name
IEEE
Place of publication
New York
Event location
Lausanne
Event date
Jun 13, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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