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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/61989100:27740/14:86092829

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: Centrum excelence IT4Innovations</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the International Joint Conference on Neural Networks

ISBN

978-1-4799-1484-5

ISSN

—

e-ISSN

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Počet stran výsledku

7

Strana od-do

1265-1271

Název nakladatele

Institute of Electrical and Electronics Engineers

Místo vydání

New York

Místo konání akce

Beijing

Datum konání akce

6. 7. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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