Dynamic Data Driven Application for Forest Fire Spread Prediction

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.

Detalles Bibliográficos
Autor principal: Denham, Mónica Malén
Formato: Articulo Revision
Lenguaje:Inglés
Publicado: 2012
Materias:
Ciencias Informáticas
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/19708
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Aug12-TO1.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-19708
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
spellingShingle Ciencias Informáticas
Denham, Mónica Malén
Dynamic Data Driven Application for Forest Fire Spread Prediction
topic_facet Ciencias Informáticas
description 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.
format Articulo
Revision
author Denham, Mónica Malén
author_facet Denham, Mónica Malén
author_sort Denham, Mónica Malén
title Dynamic Data Driven Application for Forest Fire Spread Prediction
title_short Dynamic Data Driven Application for Forest Fire Spread Prediction
title_full Dynamic Data Driven Application for Forest Fire Spread Prediction
title_fullStr Dynamic Data Driven Application for Forest Fire Spread Prediction
title_full_unstemmed Dynamic Data Driven Application for Forest Fire Spread Prediction
title_sort dynamic data driven application for forest fire spread prediction
publishDate 2012
url http://sedici.unlp.edu.ar/handle/10915/19708
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Aug12-TO1.pdf
work_keys_str_mv AT denhammonicamalen dynamicdatadrivenapplicationforforestfirespreadprediction
bdutipo_str Repositorios
_version_ 1764820464591437824

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