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Correlation between Cone Penetration Test parameters, soil type, and soil liquidity index using long short-term memory neural network

Mateusz Jocz

Mateusz Jocz

Interdisciplinary Doctoral School, Lodz University of Technology, Division of Geotechnics and Engineering Structures Department of Concrete Structures, Lodz University of TechnologyŁódź,
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Jocz, Mateusz
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Marek Lefik

Marek Lefik

Division of Geotechnics and Engineering Structures Department of Concrete Structures, Lodz University of TechnologyŁódź,
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Lefik, Marek
  
13 nov. 2023
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Catégorie d'article: Special Issue 19th KKMGiIG
Publié en ligne: 13 nov. 2023
Pages: 405 - 415
Reçu: 03 mars 2023
Accepté: 04 oct. 2023
DOI: https://doi.org/10.2478/sgem-2023-0023
Mots clés
© 2023 Mateusz Jocz et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Jocz, Mateusz
Interdisciplinary Doctoral School, Lodz University of Technology, Division of Geotechnics and Engineering Structures Department of Concrete Structures, Lodz University of TechnologyŁódź
Lefik, Marek
Division of Geotechnics and Engineering Structures Department of Concrete Structures, Lodz University of TechnologyŁódź
Langue:
Anglais
Périodicité:
4 fois par an
Sujets de la revue:
Géosciences, Géosciences, autres, Sciences des matériaux, Matériaux composites, Matériaux poreux, Physique, Mécanique et dynamique des fluides
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