Ponencia
A stored program 2/sup nd/ order/3-layer complex cell CNN-UM
Autor/es | Rekeczky, Csaba
Serrano Gotarredona, María Teresa Roska, Tamás Rodríguez Vázquez, Ángel Benito |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 2000 |
Fecha de depósito | 2019-11-05 |
Publicado en |
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ISBN/ISSN | 0-7803-6344-2 |
Resumen | 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 ... 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. |
Cita | Rekeczky, C., Serrano Gotarredona, M.T., Roska, T. y Rodríguez Vázquez, Á.B. (2000). A stored program 2/sup nd/ order/3-layer complex cell CNN-UM. En 6th IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA 2000) (213-217), Catania, Italia: Institute of Electrical and Electronics Engineers. |
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