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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

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

  • e-ISSN

  • 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