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Dynamic Data Driven Application for Forest Fire Spread Prediction

2012
 
Document type: Revision

Abstract

This work describes a two stages prediction method for wildland fire growth prediction. Proposed method takes advantege of genetic algorithms in order to develope a high performance and scalable application.

Notes

Resumen de la tesis presentada por la autora en el año 2009 para obtener el título de Doctor en Computación de Altas Prestaciones (Universidad de Barcelona).

General information

Issue date: agosto 2012
Document language: English
Journal: Journal of Computer Science & Technology; vol. 12, no. 2
Origin: Facultad de Informática
ISSN: 1666-6038
Pages: 84-86

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Created: 15 de agosto de 2012
Available since: 15 de agosto de 2012
Please, use one of this identificators(URI) for cite o linking this item:
  • http://sedici.unlp.edu.ar/handle/10915/19708

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    Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)