Artículo

Dynamical Functional Artificial Neural Network: Use of Efficient Piecewise Linear Functions

Figueroa, Jose LuisIcon ; Cousseau, Juan EdmundoIcon
Fecha de publicación: 12/2008
Editorial: Planta Piloto de Ingeniería Química
Revista: Latin American Applied Research
ISSN: 0327-0793
e-ISSN: 1851-8796
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:

Resumen

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 nonstationary signals, namely speech signals.
Palabras clave: ADAPTIVE SIGNAL PROCESSING , NONLINEAR PREDICTION , TIME SERIES PREDICTION
 
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/106089
URL: http://www.laar.plapiqui.edu.ar/OJS/public/site/volumens/indexes/i38_02.htm
URL: http://www.laar.plapiqui.edu.ar/OJS/public/site/volumens/indexes/artic_v3802/Vol
Colecciones
Articulos(IIIE)
Articulos de INST.DE INVEST.EN ING.ELECTRICA "A.DESAGES"
Citación
Figueroa, Jose Luis; Cousseau, Juan Edmundo; Dynamical Functional Artificial Neural Network: Use of Efficient Piecewise Linear Functions; Planta Piloto de Ingeniería Química; Latin American Applied Research; 38; 2; 12-2008; 187-193
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