Memorias de investigación
Ponencias en congresos:
On the Biological Plausibility of Artificial Metaplasticity
Año:2011
Áreas de investigación
  • Ingenierías
Datos
Descripción
The training algorithm studied in this paper is inspired by the biological metaplasticity property of neurons. Tested on different multidisciplinary applications, it achieves a more efficient training and improves Artificial Neural Network Performance. The algorithm has been recently proposed for Artificial Neural Networks in general, although for the purpose of discussing its biological plausibility, a Multilayer Perceptron has been used. During the training phase, the artificial metaplasticity multilayer perceptron could be considered a new probabilistic version of the presynaptic rule, as during the training phase the algorithm assigns higher values for updating the weights in the less probable activations than in the ones with higher probability.
Internacional
Si
Nombre congreso
IWINAC 2011
Tipo de participación
960
Lugar del congreso
La Palma, Islas Canarias, España
Revisores
Si
ISBN o ISSN
0302-9743
DOI
10.1007/978-3-642-21344-1_13
Fecha inicio congreso
30/05/2011
Fecha fin congreso
03/06/2011
Desde la página
119
Hasta la página
128
Título de las actas
Foundations on Natural and Artificial Computation Lecture Notes in Computer Science, 2011, Volume 6686/2011
Esta actividad pertenece a memorias de investigación
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