• DocumentCode
    313635
  • Title

    A minimal neural network for target searching and danger avoidance by smell

  • Author

    Kheng Leow, Wee ; Chyi Yee, Hsueh

  • Author_Institution
    Dept. of Inf. Syst. & Comput. Sci., Nat. Univ. of Singapore, Singapore
  • Volume
    1
  • fYear
    1997
  • fDate
    9-12 Jun 1997
  • Firstpage
    580
  • Abstract
    Research on sensory-motor coordination has attracted an increasing amount of interests recently. However, these works have been focused almost exclusively on visuomotor coordination. Research on olfactory-motor coordination, on the other hand, has been lacking. This paper contributes to the study of olfactory-motor coordination by devising a minimal neural network that allows a simulated creature to search for food and to avoid danger by smell
  • Keywords
    artificial intelligence; chemical sensors; chemioception; neural nets; danger avoidance; minimal neural network; olfactory-motor coordination; simulated creature; smell; target searching; Animals; Chemical sensors; Computer science; Food industry; Information systems; Linear approximation; Mobile robots; Neural networks; Neurophysiology; Olfactory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks,1997., International Conference on
  • Conference_Location
    Houston, TX
  • Print_ISBN
    0-7803-4122-8
  • Type

    conf

  • DOI
    10.1109/ICNN.1997.611734
  • Filename
    611734