A Comparative Study of evolutionary statistical methods for uncertainty reduction in forest fire propagation prediction

María Laura Tardivo; Paula Caymes-Scuteri; German Bianchini; Miguel Méndez; Andrés Cencerrado; Ana Cortés

A Comparative Study of evolutionary statistical methods for uncertainty reduction in forest fire propagation prediction

María Laura Tardivo, Paula Caymes-Scuteri, German Bianchini, Miguel Méndez, Andrés Cencerrado, Ana Cortés

Departamento de Arquitectura de Computadores y Sistemas Operativos

Producción científica: Contribución a una revista › Artículo › Investigación

Idioma original	Inglés
Páginas (desde-hasta)	2018-2017
Publicación	Procedia Computer Science
Volumen	108
N.º	C
Estado	Publicada - 1 ene 2017

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title = "A Comparative Study of evolutionary statistical methods for uncertainty reduction in forest fire propagation prediction",

author = "Tardivo, {Mar{\'i}a Laura} and Paula Caymes-Scuteri and German Bianchini and Miguel M{\'e}ndez and Andr{\'e}s Cencerrado and Ana Cort{\'e}s",

year = "2017",

month = jan,

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language = "English",

volume = "108",

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TY - JOUR

T1 - A Comparative Study of evolutionary statistical methods for uncertainty reduction in forest fire propagation prediction

AU - Tardivo, María Laura

AU - Caymes-Scuteri, Paula

AU - Bianchini, German

AU - Méndez, Miguel

AU - Cencerrado, Andrés

AU - Cortés, Ana

PY - 2017/1/1

Y1 - 2017/1/1

M3 - Article

SN - 1877-0509

VL - 108

SP - 2018

EP - 2017

JO - Procedia Computer Science

JF - Procedia Computer Science

IS - C

ER -