Determination of liquefaction susceptibility of soil: A Least square support vector machine approach

International Journal for Numerical and Analytical Methods in Geomechanics

Volumn 37, Issue 9, 2013, Pages 1154-1161

  Samui, Pijush ^a   Karthikeyan, J ^a  

^a VIT UNIVERSITY   (India)

Author keywords

Artificial neural network; Least square support vector machine; Liquefaction; Prediction; SPT

Indexed keywords

ARTIFICIAL NEURAL NETWORK MODELS; CYCLIC STRESS RATIO; LEAST SQUARE SUPPORT VECTOR MACHINES; LIQUEFACTION SUSCEPTIBILITY; PEAK GROUND ACCELERATION; PROBABILISTIC OUTPUT; SPT; STANDARD PENETRATION TEST;

FORECASTING; LIQUEFACTION; NEURAL NETWORKS; SOILS;

SOIL LIQUEFACTION;

ARTIFICIAL NEURAL NETWORK; LEAST SQUARES METHOD; LIQUEFACTION; NUMERICAL MODEL; PEAK ACCELERATION; PENETRATION TEST; PREDICTION; PROBABILITY; SOIL MECHANICS; STRESS ANALYSIS;

EID: 84880273995     PISSN: 03639061     EISSN: 10969853     Source Type: Journal    
DOI: 10.1002/nag.2081     Document Type: Article

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