On cellular neural network learning

Xavier Vilasís-Cardona, Mireia Vinyoles-Serra

Research output: Book chapterConference contributionpeer-review

6 Citations (Scopus)

Abstract

We study the continous time two neuron CNN in the context of a supervised learning problem and extract the convergence map for constant inputs. From this result we can design a CNN cloning template for a classification problem. Some of the parameters of this cloning template play no effective role in the tesselation giving the convergence map. This gives some hints on how to set up a learning problem and solves the template composition problem for this case.

Original languageEnglish
Title of host publicationProceedings of the 2005 European Conference on Circuit Theory and Design
Pages153-156
Number of pages4
DOIs
Publication statusPublished - 2005
Event2005 European Conference on Circuit Theory and Design - Cork, Ireland
Duration: 28 Aug 20052 Sept 2005

Publication series

NameProceedings of the 2005 European Conference on Circuit Theory and Design
Volume1

Conference

Conference2005 European Conference on Circuit Theory and Design
Country/TerritoryIreland
CityCork
Period28/08/052/09/05

Fingerprint

Dive into the research topics of 'On cellular neural network learning'. Together they form a unique fingerprint.

Cite this