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- W2000694692 abstract "Traditional surrounding rockmass classification methods have disadvantages of relative narrow scope of application, most of the time the classification result needs some modifications by geological expert and field situation. Based on the surrounding rockmass classification methods of BQ system, the Bayesian network and corresponding uncertainty reasoning principle has been introduced to develop an expert system for surrounding rockmass classification. By combining prior knowledge of domain experts with worksite data recorder, we get the posterior probability density of most nodes. The field practices proved that the expert system has good applicability." @default.
- W2000694692 created "2016-06-24" @default.
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- W2000694692 date "2013-12-01" @default.
- W2000694692 modified "2023-10-16" @default.
- W2000694692 title "Bayesian Network Based Expert System for Tunnel Surrounding Rockmass Classification" @default.
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- W2000694692 doi "https://doi.org/10.4028/www.scientific.net/amm.482.248" @default.
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