A BHR Composite Network-Based Visualization Method for Deformation Risk Level of Underground Space

This study proposes a visualization processing method for the deformation risk level of underground space. The proposed method is based on a BP-Hopfield-RGB (BHR) composite network. Complex environmental factors are integrated in the BP neural network. Dynamic monitoring data are then automatically...

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Detalles Bibliográficos
Autores principales: Zheng, Wei, Zhang, Xiaoya, Lu, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4444094/
https://www.ncbi.nlm.nih.gov/pubmed/26011618
http://dx.doi.org/10.1371/journal.pone.0127088

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4444094/
https://www.ncbi.nlm.nih.gov/pubmed/26011618
http://dx.doi.org/10.1371/journal.pone.0127088

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