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

Volume

45

Issue

2

fYear

1998

fDate

2/1/1998 12:00:00 AM

Firstpage

157

Lastpage

162

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;

fLanguage

English

Journal_Title

Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on

Publisher

ieee

ISSN

1057-7122

Type

jour

DOI

10.1109/81.661681

Filename

661681