Forest fire prediction and management using soft computing

被引：5
|
作者：
Olivas, JA [1 ]
机构：
[1] Univ Castilla La Mancha, E-13071 Ciudad Real, Spain
来源：
INDIN 2003: IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS, PROCEEDINGS | 2003年
关键词：
D O I：
10.1109/INDIN.2003.1300349
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The problem of assigning and optimizing resources is a constant in the daily fight against forest fires in the Mediterranean Area and is due to the frequency and simultaneity of the fires together with the limited resources available. Thus, it seems necessary to predict the evolution of the forest fire occurrence-danger rate for a given area in the short and medium term. In order to satisfy this real prediction need, it is presented INCEND-1A: A KBS for prediction and decision support in fighting against forest fires.
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页码：338 / 344
页数：7
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