Estimation of model parameters and ground movement in shallow NATM tunnel by means of neural network

Tunnelling and Underground Space Technology

Volumn 21, Issue 3-4, 2006, Pages 242-

  Lee, Jaeho ^a   Akutagawa, Shinichi ^a   Yokota, Yasuhiro ^a   Kitagawa, Takashi ^b   Isogai, Atsumi ^b   Matsunaga, Takeshi ^c  

^a KOBE UNIVERSITY   (Japan)

^b Transport and Technology Agency   (Japan)

^c Pacific Consultants   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; NEURAL NETWORKS; PARAMETER ESTIMATION; SHEAR FLOW;

BACK PROPAGATION ARTIFICIAL NEURAL NETWORK (BPANN); IDENTIFICATION OF UNKNOWNS; MATERIAL PARAMETER; MATERIAL STRENGTH; MODEL PARAMETERS; NEW AUSTRIAN TUNNELING METHOD; PLANNING AND DESIGN; STATE OF THE ART;

TUNNELING (EXCAVATION);

EID: 77949716205     PISSN: 08867798     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tust.2005.12.020     Document Type: Conference Paper

References (12)

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