Stored program 2nd order/3-layer complex cell CNN-UM

Cs Rekeczky, T. Serrano-Gotarredona, T. Roska, A. Rodriguez-Vazquez

Research output: Contribution to conferencePaper

32 Citations (Scopus)

Abstract

A stored program 2nd order/3-layer complex cell Cellular Neural Network Universal Machine (CNN-UM) architecture is introduced. We discuss a number of phenomena that can be generated in this system by a single CNN transient. In particular, it is pointed out that by a proper combination of two dynamic layers some operations can be easily implemented that would require an approximation or iterative algorithmic solution relying on a first order CNN system. Thus, during these experiments, in a 2nd order/3-layer CNN new multi-layer templates have been identified as efficient basic building blocks for various application motivated analogic algorithms.

Original languageEnglish
Pages213-217
Number of pages5
Publication statusPublished - Jan 1 2000
EventProceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000) - Catania, Italy
Duration: May 23 2000May 25 2000

Other

OtherProceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000)
CityCatania, Italy
Period5/23/005/25/00

ASJC Scopus subject areas

  • Software

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    Rekeczky, C., Serrano-Gotarredona, T., Roska, T., & Rodriguez-Vazquez, A. (2000). Stored program 2nd order/3-layer complex cell CNN-UM. 213-217. Paper presented at Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000), Catania, Italy, .