Subsidence estimation utilizing various approaches - A case study: Tehran No. 3 subway line

Tunnelling and Underground Space Technology

Volumn 31, Issue , 2012, Pages 117-127

  Darabi, Abouzar ^a   Ahangari, Kaveh ^a   Noorzad, Ali ^b   Arab, Alireza ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b SHAHID BEHESHTI UNIVERSITY   (Iran)

Author keywords

Convergence; Neural networks; SPSS; Statistical method; Subsidence; Tehran No. 3 subway line

Indexed keywords

ACTUAL ERROR; APPROPRIATE MODELS; CONVERGENCE; CORRELATION COEFFICIENT; EMPIRICAL METHOD; EMPIRICAL RELATIONSHIPS; IN-SITU STRESS FIELD; LONGITUDINAL DIRECTION; NEURAL NETWORK METHOD; OPTIMUM NETWORKS; RADIAL DISPLACEMENTS; SOIL PROPERTY; SPSS; STATISTICAL PACKAGES; SUBWAY TUNNELS; TEHRAN NO. 3 SUBWAY LINE;

NEURAL NETWORKS; NUMERICAL ANALYSIS; RAILROADS; STATISTICAL METHODS; UNDERPASSES;

SUBSIDENCE;

ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; CONVERGENCE; IN SITU STRESS; NATM; SOIL PROPERTY; STATISTICAL ANALYSIS; STRESS FIELD; SUBSIDENCE; TUNNEL DESIGN;

IRAN; TEHRAN [IRAN]; TURKEY;

EID: 84861737966     PISSN: 08867798     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tust.2012.04.012     Document Type: Article

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