On the separating capability of cellular neural networks

J. A. Osuna, G. S. Moschytz

Research output: Contribution to journalArticlepeer-review

Abstract

The cellular neural network is able to perform different image-processing tasks depending on the template values, i.e. the network parameters, used. In the case of linear templates the parameter space is divided into different regions by hyperplanes. Every region is associated with a task, such that all points within that region let the cellular neural network perform the desired task. In this paper a lower and an upper bound for the number of regions that can be separated with binary-input cellular neural networks are given, thus answering the question of how many different-tasks such a cellular neural network can perform.

Original languageEnglish
Pages (from-to)253-259
Number of pages7
JournalInternational Journal of Circuit Theory and Applications
Volume24
Issue number3
DOIs
StatePublished - 1996
Externally publishedYes

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