Title
Optimal Cnn Templates For Linearly-Separable One-Dimensional Cellular Automata
Abstract
In this tutorial, we present optimal Cellular Nonlinear Network (CNN) templates for implementing linearly-separable one-dimensional (1-D) Cellular Automata ( CA). From the gallery of CNN templates presented in this paper, one can calculate any of the 256 1-D CA Rules studied by Wolfram using a CNN Universal Machine chip that is several orders of magnitude faster than conventional programming on a digital computer.
Year
DOI
Venue
2007
10.1142/S0218127407017884
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
Keywords
DocType
Volume
cellular nonlinear networks, cellular automata, support vector machines
Journal
17
Issue
ISSN
Citations 
3
0218-1274
1
PageRank 
References 
Authors
0.45
2
2
Name
Order
Citations
PageRank
P. J. CHANG110.45
Bharathwaj Muthuswamy21189.22