Prediction of friction capacity of driven piles in clay using the support vector machine

Canadian Geotechnical Journal

Volumn 45, Issue 2, 2008, Pages 288-295

  Samui, Pijush ^a  

^a INDIAN INSTITUTE OF SCIENCE   (India)

Author keywords

Artificial neural network; Clay; Piles; Support vector machine

Indexed keywords

CLAY; FRICTION; NEURAL NETWORKS; OPTIMIZATION; SUPPORT VECTOR MACHINES;

ANN MODEL; STATISTICAL LEARNING THEORY;

PILES;

CLAY; FRICTION; NEURAL NETWORKS; OPTIMIZATION; PILES; SUPPORT VECTOR MACHINES;

ARTIFICIAL NEURAL NETWORK; CLAY; FRICTION; MACHINERY; MODEL; STATISTICAL ANALYSIS; THEORETICAL STUDY;

EID: 41549100153     PISSN: 00083674     EISSN: None     Source Type: Journal    
DOI: 10.1139/T07-072     Document Type: Article

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