Name
Abstract | ||
|---|---|---|
In a series of papers published in the seventies, Grossberg has developed a geometric approach for analyzing the global dynamical behavior and convergence properties of a class of competitive dynamical systems. In this paper, Grossberg approach is extended to competitive standard Cellular Neural Networks (CNNs), and it is used to investigate convergence of classes of non-symmetric competitive CNNs under the hypothesis that they induce a globally consistent decision scheme. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ISCAS.2007.378100 | 2007 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-11 |
Keywords | Field | DocType |
directed graphs,differential equations,convergence,cellular neural network,voting,dynamic system,information analysis,cellular neural networks | Convergence (routing),Differential equation,Mathematical optimization,Voting,Control theory,Computer science,Directed graph,Theoretical computer science,Nonlinear differential equations,Dynamical systems theory,Cellular neural network | Conference |
ISSN | Citations | PageRank |
0271-4302 | 0 | 0.34 |
References | Authors | |
2 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mauro Di Marco | 1 | 205 | 18.38 |
| Mauro Forti | 2 | 398 | 36.80 |
| Massimo Grazzini | 3 | 131 | 11.01 |
| Paolo Nistri | 4 | 212 | 33.80 |
| Luca Pancioni | 5 | 207 | 17.58 |