A novel method for identifying geomechanical parameters of rock masses based on a PSO and improved GPR hybrid algorithm

In view of the shortcomings of existing artificial neural network (ANN) and support vector regression (SVR) in the application of three-dimensional displacement back analysis, Gaussian process regression (GPR) algorithm is introduced to make up for the shortcomings of existing intelligent inversion...

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Detalles Bibliográficos
Autores principales: Yan, Hanghang, Liu, Kaiyun, Xu, Chong, Zheng, Wenbo
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/PMC8983739/
https://www.ncbi.nlm.nih.gov/pubmed/35383248
http://dx.doi.org/10.1038/s41598-022-09947-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8983739/
https://www.ncbi.nlm.nih.gov/pubmed/35383248
http://dx.doi.org/10.1038/s41598-022-09947-7

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