Feature Extraction Via Multiresolution MODWT Analysis in a Rainfall Forecast System

Tarquis Alfonso, Ana Maria; Andina de la Fuente, Diego; Buendia Buendia, Fulgencio y Buendia, G. (2008). Feature Extraction Via Multiresolution MODWT Analysis in a Rainfall Forecast System. En: "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.

Descripción

Título: Feature Extraction Via Multiresolution MODWT Analysis in a Rainfall Forecast System
Autor/es:
  • Tarquis Alfonso, Ana Maria
  • Andina de la Fuente, Diego
  • Buendia Buendia, Fulgencio
  • Buendia, G.
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: The 12th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2008
Fechas del Evento: 29/06/2008-02/07/2008
Lugar del Evento: Orlando, Florida, EEUU
Título del Libro: Proceedings of the 12th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2008
Fecha: 2008
ISBN: 1-934272-30-2
Materias:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Señales, Sistemas y Radiocomunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 3942
Identificador DC: http://oa.upm.es/3942/
Identificador OAI: oai:oa.upm.es:3942
URL Oficial: http://www.iiinfocybernetics.com/past-conf-info.asp
Depositado por: Memoria Investigacion
Depositado el: 05 Ago 2010 13:09
Ultima Modificación: 20 Abr 2016 13:21
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