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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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Categoria dell'articolo: Special Issue 19th KKMGiIG
Pubblicato online: 13 nov 2023
Pagine: 405 - 415
Ricevuto: 03 mar 2023
Accettato: 04 ott 2023
DOI: https://doi.org/10.2478/sgem-2023-0023
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© 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
Lingua:
Inglese
Frequenza di pubblicazione:
4 volte all'anno
Argomenti della rivista:
Geoscienze, Geoscienze, altro, Scienze materiali, Compositi, Materiali porovati, Fisica, Meccanica e dinamica dei fluidi
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