• DocumentCode
    508094
  • Title

    Design of Tasting Perception System of Artificial Fish Based on Fuzzy Neural Network

  • Author

    Meng Xian-yu ; He Xiao-yang ; Xue Yan-rong ; Li Feng-hua

  • Author_Institution
    Coll. Electron. & Inf. Eng., Liaoning Univ. of Technol., Jinzhou, China
  • Volume
    5
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    187
  • Lastpage
    191
  • Abstract
    Artificial fish for computer animation is created with artificial life. In order to enrich perceptive abilities of artificial fish and exhibit vivid animation, a kind of virtual tasting perception system of artificial fish is proposed. Firstly, the tasting perception model in Intelligent Virtual Environment (IVE) is built. Secondly, two-layer recognition model of tasting perception is designed according to the biological mechanism of taste. The recognition of tasting information is achieved using fuzzy neural network (FNN). The result is satisfying in computer animation simulation. And the design of tasting perception system sets a good foundation for research on multi-perception fusion.
  • Keywords
    artificial life; chemioception; computer animation; digital simulation; fuzzy neural nets; virtual reality; Intelligent Virtual Environment; artificial fish; artificial life; biological taste mechanism; computer animation simulation; fuzzy neural network; multiperception fusion; two-layer recognition model; virtual tasting perception system; Animation; Artificial neural networks; Biological neural networks; Biological system modeling; Computational modeling; Computer simulation; Fuzzy logic; Fuzzy neural networks; Marine animals; Virtual environment; Agent; Artificial Fish; Artificial Life; FNN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2009. ICNC '09. Fifth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3736-8
  • Type

    conf

  • DOI
    10.1109/ICNC.2009.555
  • Filename
    5365420