Exact design of reciprocal cellular neural networks

J. A. Osuna, G. S. Moschytz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Based on two classes of equilibrium equations, a design method for reciprocal Cellular Neural Networks is presented. The local rules denning the task to be accomplished by the network are directly mapped into a set of linear inequalities that bound the solution space of the network parameters for the given problem. All points in the solution space guarantee the correct operation of the network. A solution can be computed by the relaxation method for solving sets of linear inequalities.

Original languageEnglish
Title of host publicationProceedings - 2nd International Workshop on Cellular Neural Networks and their Applications, CNNA 1992
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages11-16
Number of pages6
ISBN (Electronic)0780308751, 9780780308756
DOIs
StatePublished - 1992
Externally publishedYes
Event2nd International Workshop on Cellular Neural Networks and their Applications, CNNA 1992 - Munich, Germany
Duration: 14 Oct 199216 Oct 1992

Publication series

NameProceedings - 2nd International Workshop on Cellular Neural Networks and their Applications, CNNA 1992

Conference

Conference2nd International Workshop on Cellular Neural Networks and their Applications, CNNA 1992
Country/TerritoryGermany
CityMunich
Period14/10/9216/10/92

Bibliographical note

Publisher Copyright:
© 1992 IEEE.

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