A comparative study of evolutionary statistical methods for uncertainty reduction in forest fire propagation prediction-Reference-Cited by-同舟云学术

A comparative study of evolutionary statistical methods for uncertainty reduction in forest fire propagation prediction

Published:2017 Issue: Volume:108 Page:2018-2027
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Tardivo María Laura,Caymes-Scutari Paola,Bianchini Germán,Méndez-Garabetti Miguel,Cencerrado Andrés,Cortés Ana

Publisher

Elsevier BV

Subject

General Engineering

Reference13 articles.

1. "Enhancing wildland fire prediction on cluster systems applying evolutionary optimization techniques",;Abdalhaq;Future Generation Computer Systems,2005

2. “Current status and future needs of the BehavePlus Fire Modeling System”;Andrews;International Journal of Wildland Fire,2013

3. C.D. Bevins, “FireLib User Manual & Technical Reference", http://www.fire.org, 2004.

4. “Evolutionary-Statistical System: A parallel method for improving forest fire spread prediction",;Bianchini;J. of Computational Science,2015

5. "Urgency versus accuracy: Dynamic data driven application system for natural hazard management",;Cencerrado;International Journal of Numerical Analysis and Modeling,2012

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