The cloning template design of a cellular neural network

Citation
Cl. Yin et al., The cloning template design of a cellular neural network, J FRANKL I, 336(6), 1999, pp. 903-909
Citations number
5
Categorie Soggetti
Mechanical Engineering
Journal title
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
ISSN journal
00160032 → ACNP
Volume
336
Issue
6
Year of publication
1999
Pages
903 - 909
Database
ISI
SICI code
0016-0032(199908)336:6<903:TCTDOA>2.0.ZU;2-T
Abstract
Based on the dynamic analysis of a cellular neural network (CNN), this pape r reports a design method for the hole-filler cloning template. The range a nd design values of every parameter of the cloning template are given. They are verified by computer simulation, (C) 1999 The Franklin Institute. Publ ished by Elsevier Science Ltd. All rights reserved.