### Abstract

A stored program 2^{nd} 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 2^{nd} order/3-layer CNN new multi-layer templates have been identified as efficient basic building blocks for various application motivated analogic algorithms.

Original language | English |
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Pages | 213-217 |

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

Other | Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000) |
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City | Catania, Italy |

Period | 5/23/00 → 5/25/00 |

### ASJC Scopus subject areas

- Software

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## Cite this

*Stored program 2*. 213-217. Paper presented at Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000), Catania, Italy, .

^{nd}order/3-layer complex cell CNN-UM