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  • 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.
  • 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. (en)
Title
  • Multi-agent evolutionary design of Flexible Beta Basis Function Neural Tree
  • Multi-agent evolutionary design of Flexible Beta Basis Function Neural Tree (en)
skos:prefLabel
  • Multi-agent evolutionary design of Flexible Beta Basis Function Neural Tree
  • Multi-agent evolutionary design of Flexible Beta Basis Function Neural Tree (en)
skos:notation
  • RIV/61989100:27740/14:86092829!RIV15-MSM-27740___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0070)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
  • Abraham Padath, Ajith
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 30925
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27740/14:86092829
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Tree; Neural; Function; Basis; Beta; Flexible; design; evolutionary; Multi-agent (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [BE16321DA58C]
http://linked.open...v/mistoKonaniAkce
  • Beijing
http://linked.open...i/riv/mistoVydani
  • New York
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the International Joint Conference on Neural Networks
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Abraham Padath, Ajith
  • Alimi, A. M.
  • Bouaziz, S.
  • Ammar, M.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/IJCNN.2014.6889726
http://purl.org/ne...btex#hasPublisher
  • Institute of Electrical and Electronics Engineers
https://schema.org/isbn
  • 978-1-4799-1484-5
http://localhost/t...ganizacniJednotka
  • 27740
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