• DocumentCode
    2287035
  • Title

    Teaching CNN and learning by using CNN

  • Author

    Arena, P. ; Basile, A. ; Bucolo, M. ; Fortuna, L.

  • Author_Institution
    Dipt. Elettrico Elettronico e Sistemistico, Universita degli Studi di Catania, Italy
  • fYear
    2002
  • fDate
    22-24 Jul 2002
  • Firstpage
    595
  • Lastpage
    600
  • Abstract
    In this communication we remark our experience in teaching CNN technologies at the Universita degli Studi di Catania in the course of Adaptive Systems. The main result regards the possibility of using the CNN subject to introduce further topics in circuits and dynamical systems. The students reached high level skills in the related field. Moreover they have developed personalized simulation tools that used to make more experiments confirming that CNN are really the real paradigm for complexity.
  • Keywords
    adaptive systems; cellular neural nets; computational complexity; computer aided instruction; computer science education; digital simulation; learning (artificial intelligence); CNN technology teaching; adaptive systems; circuits; dynamical systems; Adaptive systems; Biotechnology; Cellular neural networks; Circuit simulation; Education; Feedback control; Image processing; Laboratories; Neuroscience; Robot control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and Their Applications, 2002. (CNNA 2002). Proceedings of the 2002 7th IEEE International Workshop on
  • Print_ISBN
    981-238-121-X
  • Type

    conf

  • DOI
    10.1109/CNNA.2002.1035100
  • Filename
    1035100