Work

A stored program 2/sup nd/ order/3-layer complex cell CNN-UM

Year: 2002

Type: conference-paper

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

Source: IEEE International Workshop on Cellular Neural Networks and their Applications

DOI: 10.1109/cnna.2000.876847

Authors: C. Rekeczky, T. Serrano-Gotarredona, T. Roska, A. Rodriguez-Vazquez

Institutions: Hungarian Academy of Sciences, Centro Nacional de Microelectrónica

Language: English

Topic: Neural Networks and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2171704516

FWCI: 7.883

Cites: 21

Cited by: 38

Related to: 10