The prediction of the critical factor of safety of homogeneous finite slopes using neural networks and multiple regressions

Computers and Geosciences

Volumn 51, Issue , 2013, Pages 305-313

  Erzin, Yusuf ^a   Cetin, Tulin ^a  

^a CELAL BAYAR UNIVERSITY   (Turkey)

Author keywords

Artificial neural networks; Critical factor of safety; Homogeneous finite slope; Multiple regression; Simplified Bishop method

Indexed keywords

AREAS UNDER THE CURVES; CALCULATED VALUES; CRITICAL FACTORS; DETERMINATION COEFFICIENTS; FINITE SLOPE; MEAN ABSOLUTE ERROR; MULTIPLE REGRESSIONS; PERFORMANCE INDICES; PREDICTION PERFORMANCE; RECEIVER OPERATING CURVES; ROOT MEAN SQUARE ERRORS; SIMPLIFIED BISHOP METHOD; SLOPE PARAMETER;

FORECASTING; MEAN SQUARE ERROR; NEURAL NETWORKS; OPTIMAL SYSTEMS; REGRESSION ANALYSIS; SAFETY FACTOR;

GEOLOGIC MODELS;

ARTIFICIAL NEURAL NETWORK; ERROR ANALYSIS; PREDICTION; REGRESSION ANALYSIS; SAFETY; SLOPE DYNAMICS;

EID: 84870184266     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2012.09.003     Document Type: Article

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