DocumentCode :
1408282
Title :
An approach to information propagation in 1-D cellular neural networks. II. Global propagation
Author :
Setti, Gianluca ; Thiran, Patrick ; Serpico, Claudio
Author_Institution :
Dipt. di Elettronica Inf. e Sistemistica, Bologna Univ., Italy
Volume :
45
Issue :
8
fYear :
1998
fDate :
8/1/1998 12:00:00 AM
Firstpage :
790
Lastpage :
811
Abstract :
For pt.I see P. Thiran et al., ibid., vol.45, no.8, pp.777-89 (1998). This second of two papers studies how and when a global propagation of information, introduced as initial condition, is possible through a one-dimensional (1-D) Cellular Neural Network (CNN) with connections between nearest neighbors only. We will focus on circular arrays, which have the most regular structure, we will show that periodic solutions exist, and we will compute one of them analytically. We will also study their stability
Keywords :
cellular neural nets; circular array; global propagation; information propagation; initial condition; lattice dynamics; one-dimensional cellular neural network; stability; Cellular networks; Cellular neural networks; Intelligent networks; Lattices; Nearest neighbor searches; Neural networks; Nonlinear equations; Periodic structures; Piecewise linear techniques; Stability;
fLanguage :
English
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7122
Type :
jour
DOI :
10.1109/81.704820
Filename :
704820
Link To Document :
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