Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Feature Extraction Via Multiresolution MODWT Analysis in a Rainfall Forecast System
Year:2008
Research Areas
  • Processing and signal analysis
Information
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.
International
Si
Congress
The 12th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2008
960
Place
Orlando, FL, EEUU
Reviewers
No
ISBN/ISSN
1-934272-30-2
Start Date
28/06/2008
End Date
02/07/2008
From page
69
To page
73
Proceedings of the 12th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2008. Volume VIII. Port-Conference Issue
Participants
  • Autor: G Buendía (AEMET (Agencia Española de Meteorología))
  • Autor: Diego Andina De la Fuente (UPM)
  • Autor: FS Buendía (GMV Defence & Security)
  • Autor: Ana Maria Tarquis Alfonso (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Departamento: Matemática Aplicada a la Ingeniería Agronómica
  • Departamento: Señales, Sistemas y Radiocomunicaciones
  • Centro o Instituto I+D+i: Centro de Estudios e Investigación para la Gestión de Riesgos Agrarios Medioambientales (CEIGRAM)
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