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.
|Number of pages||5|
|Publication status||Published - Jan 1 2000|
|Event||Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000) - Catania, Italy|
Duration: May 23 2000 → May 25 2000
|Other||Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000)|
|Period||5/23/00 → 5/25/00|
ASJC Scopus subject areas