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An artificial neural network approach for three-dimensional slope stability prediction: [Une approche de réseau de neurones artificiels pour la prédiction de stabilité de pente en trois dimensions]
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.ORCID iD: 0000-0003-0148-9779
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.ORCID iD: 0000-0003-3031-816x
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.ORCID iD: 0000-0003-1935-1743
2022 (English)In: Proceedings of the 20th International Conference on Soil Mechanics and Geotechnical Engineering / [ed] M. Rahman; M. Jaksa, Australian Geomechanics Society , 2022, p. 5107-5111Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Australian Geomechanics Society , 2022. p. 5107-5111
National Category
Geotechnical Engineering and Engineering Geology Computer Sciences
Research subject
Soil Mechanics
Identifiers
URN: urn:nbn:se:ltu:diva-99177OAI: oai:DiVA.org:ltu-99177DiVA, id: diva2:1780813
Conference
20th International Conference on Soil Mechanics and Geotechnical Engineering 2022 (ICSMGE 2022), Sydney, Australia, May 1-5, 2022
Projects
BIG
Funder
Swedish Transport Administration, A2018-03
Note

ISBN för värdpublikation: 978-0-9946261-4-1

Available from: 2023-07-06 Created: 2023-07-06 Last updated: 2025-02-05Bibliographically approved

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Meng, JingjingMattsson, HansLaue, Jan

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