Simulating Forest Fire Spread with Cellular Automation Driven by a LSTM Based Speed Model

Simulating Forest Fire Spread with Cellular Automation Driven by a LSTM Based Speed Model

The simulation of forest fire spread is a key problem for the management of fire, and Cellular Automata (CA) has been used to simulate the complex mechanism of the fire spread for a long time. The simulation of CA is driven by the rate of fire spread (ROS), which is hard to estimate, because some in...

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Bibliographic Details
Main Authors: Xingdong Li, Mingxian Zhang, Shiyu Zhang, Jiuqing Liu, Shufa Sun, Tongxin Hu, Long Sun
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Fire
Subjects:
forest fire
LSTM
cellular automata
fire spread simulation
extreme learning machine
Online Access:https://www.mdpi.com/2571-6255/5/1/13

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