Feature Extraction Via Multiresolution MODWT Analysis in a Rainfall Forecast System

Tarquis Alfonso, Ana Maria and Andina de la Fuente, Diego and Buendia Buendia, Fulgencio and Buendia, G. (2008). Feature Extraction Via Multiresolution MODWT Analysis in a Rainfall Forecast System. In: "The 12th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2008", 29/06/2008-02/07/2008, Orlando, Florida, EEUU. ISBN 1-934272-30-2.

Description

Title: Feature Extraction Via Multiresolution MODWT Analysis in a Rainfall Forecast System
Author/s:
  • Tarquis Alfonso, Ana Maria
  • Andina de la Fuente, Diego
  • Buendia Buendia, Fulgencio
  • Buendia, G.
Item Type: Presentation at Congress or Conference (Article)
Event Title: The 12th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2008
Event Dates: 29/06/2008-02/07/2008
Event Location: Orlando, Florida, EEUU
Title of Book: Proceedings of the 12th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2008
Date: 2008
ISBN: 1-934272-30-2
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

During 30 years, expert meteorologists have been sampling meteorological measurements directly related to the rainfall event, in order to improve the current forecast procedures. This study performs the Feature Extraction and Feature Selection processes to extract the relevant information in the rainfall event. The Feature Extraction has been performed with a Multiresolution Analysis applying the Maxima OverlapWavelet Transform. The selection of the wavelet decomposition, was obtained applying a Sequential Feature Selection algorithm based on General Regression Neural Networks. In this paper, it is also presented a novel architecture to perform short and medium term weather forecasts based on Neural Networks and time series estimation filters. The preliminary results obtained, present this architecture as a feasible alternative to the current forecast procedures performed by super computer simulation centers.

More information

Item ID: 3942
DC Identifier: http://oa.upm.es/3942/
OAI Identifier: oai:oa.upm.es:3942
Official URL: http://www.iiinfocybernetics.com/past-conf-info.asp
Deposited by: Memoria Investigacion
Deposited on: 05 Aug 2010 13:09
Last Modified: 20 Apr 2016 13:21
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