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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...
Autores principales: | Zheng, Wei, Zhang, Xiaoya, Lu, Qi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
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 |
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