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AMSOM : artificial metaplasticity in SOM neural networks: Application to MIT-BIH arrhythmias database
Cita
Torres Alegre, Santiago 
ORCID: https://orcid.org/0000-0002-9945-105X, Fombellida Vetas, Juan, Piñuela Izquierdo, Juan Antonio and Andina de la Fuente, Diego ORCID: https://orcid.org/0000-0001-7036-2646
(2018).
AMSOM : artificial metaplasticity in SOM neural networks: Application to MIT-BIH arrhythmias database.
"Neural Computing and Applications", v. 30
(n. 1);
pp. 1-8.
ISSN 0941-0643.
https://doi.org/10.1007/s00521-018-3576-0.
ORCID: https://orcid.org/0000-0002-9945-105X, Fombellida Vetas, Juan, Piñuela Izquierdo, Juan Antonio and Andina de la Fuente, Diego ORCID: https://orcid.org/0000-0001-7036-2646
(2018).
AMSOM : artificial metaplasticity in SOM neural networks: Application to MIT-BIH arrhythmias database.
"Neural Computing and Applications", v. 30
(n. 1);
pp. 1-8.
ISSN 0941-0643.
https://doi.org/10.1007/s00521-018-3576-0.
Descripción
| Título: | AMSOM : artificial metaplasticity in SOM neural networks: Application to MIT-BIH arrhythmias database |
|---|---|
| Autor/es: |
|
| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | Neural Computing and Applications |
| Fecha: | Julio 2018 |
| ISSN: | 0941-0643 |
| Volumen: | 30 |
| Número: | 1 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Metaplasticity, AMMLP, AMP, Feature extraction, Artificial neural network, Self-organizing maps, AMSOM |
| Escuela: | E.T.S.I. Telecomunicación (UPM) |
| Departamento: | Señales, Sistemas y Radiocomunicaciones |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
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.
Más información
| ID de Registro: | 54999 |
|---|---|
| Identificador DC: | https://oa.upm.es/54999/ |
| Identificador OAI: | oai:oa.upm.es:54999 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/5654086 |
| Identificador DOI: | 10.1007/s00521-018-3576-0 |
| URL Oficial: | https://www.springerprofessional.de/amsom-artifici... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 28 May 2019 15:39 |
| Ultima Modificación: | 12 Nov 2025 00:00 |
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