Servicios Personalizados
Revista
Articulo
Indicadores
- Citado por SciELO
Links relacionados
- Similares en SciELO
Compartir
Latin American applied research
versión impresa ISSN 0327-0793
Resumen
FIGUEROA, J. L. y COUSSEAU, J. E.. Dynamical functional artificial neural network: use of efficient piecewise linear functions. Lat. Am. appl. res. [online]. 2008, vol.38, n.2, pp.187-193. ISSN 0327-0793.
A nonlinear adaptive time series predictor has been developed using a new type of piecewise linear (PWL) network for its underlying model structure. The PWL Network is a D-FANN (Dynamical Functional Artificial Neural Network) the activation functions of which are piecewise linear. The new realization is presented with the associated training algorithm. Properties and characteristics are discussed. This network has been successfully used to model and predict an important class of highly dynamic and non-stationary signals, namely speech signals.
Palabras clave : Adaptive Signal Processing; Nonlinear Prediction; Time Series Prediction.