Neural network based prediction of ground surface settelements due to tunnelling

Computers and Geotechnics

Volumn 28, Issue 6-7, 2001, Pages 517-547

  Kim, C Y ^a   Bae, G J ^a   Hong, S W ^a   Park, C H ^a   Moon, H K ^b   Shin, H S ^c  

^a Korea Institute of Civil Engineering and Building Technology   (South Korea)

^b Hanyang University   (South Korea)

^c SWANSEA UNIVERSITY   (United Kingdom)

Author keywords

Artificial neural network; Ground movements; Inflection point; Maximum surface settlement; Tunnelling

Indexed keywords

DATABASE SYSTEMS; GEOTECHNICAL ENGINEERING; NEURAL NETWORKS; PATTERN RECOGNITION; ROCK MECHANICS; STRUCTURAL ANALYSIS;

DATA SETS; GROUND SURFACE SETTLEMENTS;

TUNNELING (EXCAVATION);

ARTIFICIAL NEURAL NETWORK; GROUND MOVEMENT; SETTLING BEHAVIOR; TUNNEL;

EID: 0034895715     PISSN: 0266352X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0266-352X(01)00011-8     Document Type: Article

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