Novel ensemble intelligence methodologies for rockburst assessment in complex and variable environments

Rockburst is a severe geological hazard that restricts deep mine operations and tunnel constructions. To overcome the shortcomings of widely used algorithms in rockburst prediction, this study investigates the ensemble trees, i.e., random forest (RF), extremely randomized tree (ET), adaptive boostin...

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Detalles Bibliográficos
Autores principales: Li, Diyuan, Liu, Zida, Armaghani, Danial Jahed, Xiao, Peng, Zhou, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8814189/
https://www.ncbi.nlm.nih.gov/pubmed/35115585
http://dx.doi.org/10.1038/s41598-022-05594-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8814189/
https://www.ncbi.nlm.nih.gov/pubmed/35115585
http://dx.doi.org/10.1038/s41598-022-05594-0

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