Memorias de investigación
Artículos en revistas:
AMSOM: artificial metaplasticity in SOM neural networks?application to MIT-BIH arrhythmias database
Año:2018
Áreas de investigación
  • Ingenierías
Datos
Descripción
Artificial metaplasticity is the machine learning algorithm inspired in the biological metaplasticity of neural synapses. Metaplasticity stands for plasticity of plasticity, and as long as plasticity is related to memory, metaplasticity is related to learning. Implemented in supervised learning assuming input patterns distribution or a related function, it has proved to be very efficient in performance and in training convergence for multidisciplinary applications. Now, for the first time, this kind of artificial metaplasticity is implemented in an unsupervised neural network, achieving also excellent results that are presented in this paper. To compare results, a modified self-organization map is applied to the classification of MIT-BIH cardiac arrhythmias database.
Internacional
Si
JCR del ISI
Si
Título de la revista
Neural Computing & Applications
ISSN
0941-0643
Factor de impacto JCR
4,213
Información de impacto
Volumen
30
DOI
10.1007/s00521-018-3576-0
Número de revista
1
Desde la página
1
Hasta la página
8
Mes
JUNIO
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Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Departamento: Señales, Sistemas y Radiocomunicaciones