TY - JOUR 
A1 - Torres Alegre, Santiago
AU - Fombellida, Juan
AU - Piñuela Izquierdo, Juan Antonio
AU - Andina, Diego
T1 - Artificial Metaplasticity: Application to MIT-BIH Arrhythmias Database
Y1 - 2015
UR - http://hdl.handle.net/11268/8059
AB - Artificial Metaplasticity are Artificial Learning Algorithms based on modelling higher level properties of biological plasticity: the plasticity of plasticity itself, so called Biological Metaplasticity. Artificial Metaplasticity aims to obtain general improvements in Machine Learning based on the experts generally accepted hypothesis that the Metaplasticity of neurons in Biological Brains is of high relevance in Biological Learning. Artificial Metaplasticity Multilayer Perceptron (AMMLP) is the application of Metaplasticity in MLPs ANNs trying to improve uniform plasticity of the Backpropagation algorithm. In this paper two different AMMLP algorithms are applied to the MIT-BIH electro cardiograms database and results are compared in terms of network performance and error evolution.
KW - Redes de neuronas artificiales
KW - Algoritmos computacionales
KW - Inteligencia artificial
KW - Algoritmo
KW - Aplicación informática
LA - eng
PB - Springer International Publishing
ER -