Deep learning model for predicting tunnel damages and track serviceability under seismic environment.

Ansari, Abdullah; Rao, K S; Jain, A K; Ansari, Anas

Ansari, Abdullah; Rao, K S; Jain, A K; Ansari, Anas.

Afiliação

Ansari A; Department of Civil Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016 India.
Rao KS; Department of Civil Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016 India.
Jain AK; Department of Civil Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016 India.
Ansari A; Department of Computer Engineering, Sanjivani College of Engineering, Kopargaon, Maharashtra 423603 India.

Model Earth Syst Environ ; 9(1): 1349-1368, 2023.

Article em En | MEDLINE | ID: mdl-36281341

Palavras-chave

Deep learning; Neural network; Prediction model; Seismic damage; Track serviceability; Tunnelling

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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