• DocumentCode
    1056253
  • Title

    Application of cellular neural networks to model population dynamics

  • Author

    Cruz, J.M. ; Chua, Leon O.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
  • Volume
    42
  • Issue
    10
  • fYear
    1995
  • fDate
    10/1/1995 12:00:00 AM
  • Firstpage
    715
  • Lastpage
    720
  • Abstract
    In this paper, we show an application of the CNN paradigm to model spatial population dynamics. In particular, we present the procedure for determining the CNN template coefficients for implementing Schelling´s model of social segregation. Simulation results are given
  • Keywords
    cellular neural nets; demography; CNN paradigm; Schelling´s model; cellular neural networks; population dynamics modelling; social segregation; spatial population dynamics; template coefficients; Biological system modeling; Cellular neural networks; Chemical processes; Circuit simulation; Cities and towns; Integrated circuit interconnections; Neural networks; Parallel processing; Piecewise linear techniques; Voltage control;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7122
  • Type

    jour

  • DOI
    10.1109/81.473579
  • Filename
    473579
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1056253