A wildfire occurrence risk model based on a back-propagation neural network-optimized genetic algorithm

A wildfire occurrence risk model based on a back-propagation neural network-optimized genetic algorithm

To reduce the impact of wildfires on the operation of power systems, a back-propagation neural network (BPNN) model is used to evaluate the wildfire risk distribution after feature selection. Data from 14 types of wildfire-related features, including anthropogenic, geographical, and meteorological f...

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Bibliographic Details
Main Authors: Hao Zhang, Hui Liu, Guoqing Ma, Yang Zhang, Jinxia Yao, Chao Gu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Energy Research
Subjects:
wildfire occurrence risk
artificial intelligence
feature selection
BP neural network
genetic algorithm
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2022.1031762/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2022.1031762/full

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