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Hybrid ICA - ANN model applied to volatile time series forecasting

Gorriz , J. M. and Puntonet, Carlos G. and Lang, Elmar (2004) Hybrid ICA - ANN model applied to volatile time series forecasting. Proc. Int. Conf. on Artificial Intelligence and Applications (AIA) 411, p. 815.

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Other URL: http://www.actapress.com/Content_of_Proceeding.aspx?proceedingID=49


Abstract

In this paper we propose a new method for volatile time series forecasting using Independent Component Analysis (ICA) algorithms and Savitzky-Golay filtering as preprocessing tools. The preprocessed data will be introduce in a based radial basis functions (RBF) Artificial Neural Network (ANN) and the prediction result will be compared with the one we get without these preprocessing tools ...

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Item Type:Article
Date:2004
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Projects:Graduiertenkolleg Nichtlinearität und Nichtgleichgewicht
Subjects:500 Science > 530 Physics
500 Science > 570 Life sciences
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Owner: Redakteur Physik
Deposited On:20 Mar 2007
Last Modified:15 Oct 2010 07:18
Item ID:1641
Owner Only: item control page
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