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Memorias de investigación
Communications at congresses:
Artificial metaplasticity MLP applied to image classification
Year:2009
Research Areas
  • Processing and signal analysis
Information
Abstract
In this paper we apply Artificial Metaplasticity to a Multilayer Perceptron (MLP) for image classification. Artificial Metaplasticity is a novel Artificial Neural Network (ANN) training algorithm that gives more relevance to less frequent training patterns and subtracts relevance to the frequent ones during training phase, achieving a much more efficient training, while at least maintaining the MLP performance. In this paper, we test Metaplasticity MLP (MMLP) algorithm on an image standard data set: the Wisconsin Breast Cancer Database (WBCD). WBCD is a well-used database in Machine Learning, ANN and Signal Processing. Experimental results show that MMLPs reach better accuracy than any other recent results.
International
Si
Congress
Industrial Informatics, 2009. INDIN 2009. 7th IEEE International Conference on
960
Place
Cardiff, UK
Reviewers
Si
ISBN/ISSN
1935-4576
10.1109/INDIN.2009.5195879
Start Date
23/06/2009
End Date
26/06/2009
From page
650
To page
653
Proc. of Industrial Informatics, 2009. INDIN 2009. 7th IEEE International Conference on
Participants
  • Autor: Alexis Enrique Marcano Cedeño (UPM)
  • Autor: Antonio Jose Alvarez Vellisco (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: Ingeniería de Circuitos y Sistemas
  • Departamento: Señales, Sistemas y Radiocomunicaciones
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