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

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

Parole chiave

geotechnical parameters, Cone Penetration Test (CPTU), liquidity index, Long Short-Term Memory (LSTM) neural network

© 2023 Mateusz Jocz et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.