Cellular neural networks and their applications

The article presents the Cellular Neural Networks (CNN), their architectures and classifications. As a natural tool for approximation of Partial Differential Equations (PDE), CNN offer numerous applications for modeling phenomena in nature and society. Some of these applications are considered in th...

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Bibliographic Details
Published inAIP conference proceedings Vol. 2159; no. 1
Main Author Stoynov, Pavel
Format Journal Article Conference Proceeding
LanguageEnglish
Published Melville American Institute of Physics 02.10.2019
Subjects
Cellular communication
Neural networks
Partial differential equations
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ISSN0094-243X
1551-7616
DOI10.1063/1.5127499

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Summary:The article presents the Cellular Neural Networks (CNN), their architectures and classifications. As a natural tool for approximation of Partial Differential Equations (PDE), CNN offer numerous applications for modeling phenomena in nature and society. Some of these applications are considered in the article.
Bibliography:ObjectType-Conference Proceeding-1
SourceType-Conference Papers & Proceedings-1
content type line 21
ISSN:0094-243X
1551-7616
DOI:10.1063/1.5127499