Predicting long-term displacements of deep tunnels using an artificial neural network optimized by sand cat swarm optimization with Chebyshev map

Zaheri, Milad; Li, Chuanqi; Ranjbarnia, Masoud; Dias, Daniel

doi:10.1007/s12665-024-11539-9

Environ Earth Sci

2024

DOI: 10.1007/s12665-024-11539-9

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Predicting long-term displacements of deep tunnels using an artificial neural network optimized by sand cat swarm optimization with Chebyshev map

Milad Zaheri,

Chuanqi Li,

Masoud Ranjbarnia

et al.

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2024

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An analytical–numerical method for the hydraulic–mechanical coupling analysis of time-dependent behavior of pressurized tunnels: Impact of an excavation damaged zone

Zaheri,

Ranjbarnia

2024

Computers and Geotechnics

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An analytical–numerical method for the hydraulic–mechanical coupling analysis of time-dependent behavior of pressurized tunnels: Impact of an excavation damaged zone

Zaheri,

Ranjbarnia

2024

Computers and Geotechnics

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Predicting long-term displacements of deep tunnels using an artificial neural network optimized by sand cat swarm optimization with Chebyshev map

Cited by 1 publication

References 76 publications

An analytical–numerical method for the hydraulic–mechanical coupling analysis of time-dependent behavior of pressurized tunnels: Impact of an excavation damaged zone

An analytical–numerical method for the hydraulic–mechanical coupling analysis of time-dependent behavior of pressurized tunnels: Impact of an excavation damaged zone

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