Ponencia
SIRENA: A simulation environment for CNNs
Autor/es | Domínguez Castro, Rafael
Espejo Meana, Servando Carlos Rodríguez Vázquez, Ángel Benito García Vargas, Ignacio Ramos, Juan F. Carmona Galán, Ricardo |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 1994 |
Fecha de depósito | 2020-03-11 |
Publicado en |
|
ISBN/ISSN | 0-7803-2070-0 |
Resumen | SIRENA is a general simulation environment for artificial neural networks, with emphasis towards CNNs. A special interest has been placed in allowing the simulation and modelling of the non-ideal effects expected from VLSI ... SIRENA is a general simulation environment for artificial neural networks, with emphasis towards CNNs. A special interest has been placed in allowing the simulation and modelling of the non-ideal effects expected from VLSI implementations. SIRENA allows the simulation of CNNs in greater detail than conventional CNN simulators, and much more efficiently that SPICE-type electrical simulators. |
Cita | Domínguez Castro, R., Espejo Meana, S.C., Rodríguez Vázquez, Á.B., García Vargas, I., Ramos, J.F. y Carmona Galán, R. (1994). SIRENA: A simulation environment for CNNs. En IEEE International Workshop on Cellular Neural Networks and their Applications (417-422), Roma, Italia: Institute of Electrical and Electronics Engineers. |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
SIRENA A Simulahn Environment ... | 413.7Kb | [PDF] | Ver/ | |