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
fDate :
10/1/1995 12:00:00 AM
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;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
