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The influence factors of the stability of tailings dam based on multi-source information fusion method
Northeastern Univ, CHN.
Northeastern Univ, CHN.
Shenyang Urban Construct Univ, CHN.
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.ORCID iD: 0000-0001-5114-4811
2019 (English)In: Journal of Intelligent & Fuzzy Systems, ISSN 1064-1246, E-ISSN 1875-8967, Vol. 37, no 3, p. 3365-3372Article in journal (Refereed) Published
Abstract [en]

The BP neural network algorithm is used to construct a stable slope angle prediction model for open-pit mines, which can successfully predict the ultimate slope angle of the mine. At the same time, a multi-tool combination of Surpac, Madis, and Flac3D is used to create a numerical model for stable slope angle in mines. The model is used to test the final slope angle prediction structure for stable mines. Through a comprehensive analysis of the ore deposit model technology constructed by the series of realms, the economic parameters involved in the generation of realm boundaries are known, and specific primaries are pointed out with the error requirements of each parameter analyzed in the realm of series. A concrete solution is put forward to the issue of realm gap. From the point of view of the power and responsibility parameters, the series of realm production methods are analyzed, and the rapid generation methods of the realm of open-pit mine series are pointed out.

Place, publisher, year, edition, pages
IOS PRESS , 2019. Vol. 37, no 3, p. 3365-3372
Keywords [en]
BP neural network, open-pit mine, stable slope angle
National Category
Other Civil Engineering
Identifiers
URN: urn:nbn:se:bth-19153DOI: 10.3233/JIFS-179139ISI: 000489941200031OAI: oai:DiVA.org:bth-19153DiVA, id: diva2:1388293
Available from: 2020-01-24 Created: 2020-01-24 Last updated: 2020-01-24Bibliographically approved

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Bertoni, Alessandro

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