Application of two non-linear prediction tools to the estimation of tunnel boring machine performance

Engineering Applications of Artificial Intelligence

Volumn 22, Issue 4-5, 2009, Pages 808-814

  Yagiz, S ^a   Gokceoglu, C ^b   Sezer, E ^b   Iplikci, S ^a  

^a PAMUKKALE UNIVERSITY   (Turkey)

^b HACETTEPE UNIVERSITY   (Turkey)

Author keywords

Artificial neural networks; Non linear multiple regression; Rock properties; TBM prognosis; Tunneling

Indexed keywords

BORING MACHINES (MACHINE TOOLS); BORING TOOLS; ELECTRON TUNNELING; FORECASTING; NEURAL NETWORKS; REGRESSION ANALYSIS; ROCKS; TUNNELING (EXCAVATION); TUNNELING MACHINES;

LINEAR PREDICTION MODELS; NON LINEAR; NON-LINEAR PREDICTIONS; PERFORMANCE ESTIMATION; PERFORMANCE PREDICTION MODELS; ROCK PROPERTIES; TBM PROGNOSIS; TUNNEL BORING MACHINE(TBM);

CONSTRUCTION EQUIPMENT;

EID: 65749099794     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2009.03.007     Document Type: Article

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