Title :
Self-organization in a two-layer CNN
Author :
Arena, Paolo ; Baglio, Salvatore ; Fortuna, Luigi ; Manganaro, Gabriele
Author_Institution :
Dipt. Elettrico, Elettronico e Sistemico, Catania Univ., Italy
fDate :
2/1/1998 12:00:00 AM
Abstract :
In this work, it is shown that a two-layer cellular neural network (CNN) with constant templates is suitable for generating self-organizing patterns and, therefore, it is able to model complex phenomena. The dynamic behavior of the single two-layer linear CNN cell is studied and the global behavior of the whole CNN is discussed. Different nonlinear phenomena are generated, including autowaves and spirals. Finally, the sensitivity with respect to parametric uncertainties and noise is investigated
Keywords :
cellular neural nets; noise; nonlinear systems; sensitivity analysis; autowaves; cellular neural network; complex phenomena; constant templates; dynamic behavior; global behavior; noise; nonlinear phenomena; parametric uncertainties; self-organizing patterns generation; sensitivity; spirals; two-layer CNN; two-layer linear CNN cell; Cellular neural networks; Circuit noise; Intelligent networks; Limit-cycles; Nonlinear circuits; Nonlinear systems; Oscillators; Physics; Spirals; Uncertainty;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
