Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
AMSOM: artificial metaplasticity in SOM neural networks?application to MIT-BIH arrhythmias database
Year:2018
Research Areas
  • Engineering
Information
Abstract
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.
International
Si
JCR
Si
Title
Neural Computing & Applications
ISBN
0941-0643
Impact factor JCR
4,213
Impact info
Volume
30
10.1007/s00521-018-3576-0
Journal number
1
From page
1
To page
8
Month
JUNIO
Ranking
Participants
  • Autor: Santiago Torres Alegre (UPM)
  • Autor: Juan Fombellida Vetas (UPM)
  • Autor: Juan Antonio Piñuela Izquierdo (UPM)
  • Autor: Diego Andina De la Fuente (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Departamento: Señales, Sistemas y Radiocomunicaciones
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)