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Multi-agent evolutionary design of 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%3A27240%2F14%3A86092829" target="_blank" >RIV/61989100:27240/14:86092829 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/14:86092829

  • Result on the web

    <a href="http://dx.doi.org/10.1109/IJCNN.2014.6889726" target="_blank" >http://dx.doi.org/10.1109/IJCNN.2014.6889726</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/IJCNN.2014.6889726" target="_blank" >10.1109/IJCNN.2014.6889726</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multi-agent evolutionary design of Flexible Beta Basis Function Neural Tree

  • Original language description

    Multi-Agent System (MAS) is a very active field that ensures global coherence between agents' interactions in a distributed way and implicit global control. Under the awareness of its power, the application of MAS was no more limited to very specific problems, but to almost application area: optimization, neural network, robotics, fuzzy system, etc. In the other side, a complex system of Artificial Neural Network called Flexible Beta Basis Function Neural Tree (FBBFNT) has reached a great level in the prediction search domain. In the purpose of enlarging the application of the algorithm to complex applications of the real problems, a new architecture of MAS was designed and applied to the FBBFNT process. This new multi-agent system based on communications and negotiations allowed the resolution of more complex prediction problems and the acceleration of the global convergence speed. 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 International Joint Conference on Neural Networks

  • ISBN

    978-1-4799-1484-5

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    1265-1271

  • 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