Cellular neural networks: Local patterns for general templates

Cheng Hsiung Hsu, Jonq Juang, Song Sun Lin, Wen Wei Lin

Research output: Contribution to journalArticlepeer-review

24 Scopus citations


This work investigates the mosaic local patterns for cellular neural networks with general templates. Our results demonstrate that the set of templates can be divided into many finite regions. In each region, the same family of local patterns can be generated. Conversely, our results further demonstrate that some templates can realize a family of local patterns which can be linearly separated by a hyperplane in the configuration space. This study also proposes algorithms for verifying the linear separability for a given family of local patterns and, when it is separable, for obtaining the associated template.

Original languageEnglish
Pages (from-to)1645-1659
Number of pages15
JournalInternational Journal of Bifurcation and Chaos in Applied Sciences and Engineering
Issue number7
StatePublished - Jul 2000


Dive into the research topics of 'Cellular neural networks: Local patterns for general templates'. Together they form a unique fingerprint.

Cite this