Application of statistical learning algorithms to ultimate bearing capacity of shallow foundation on cohesionless soil

International Journal for Numerical and Analytical Methods in Geomechanics

Volumn 36, Issue 1, 2012, Pages 100-110

  Samui, Pijush ^a  

^a VIT UNIVERSITY   (India)

Author keywords

Artificial intelligence; Cohesionless soil; Relevance vector machine; Sensitivity analysis; Shallow foundation; Support vector machine; Ultimate bearing capacity

Indexed keywords

COHESIONLESS SOIL; RELEVANCE VECTOR MACHINE; SHALLOW FOUNDATIONS; SUPPORT VECTOR; ULTIMATE BEARING CAPACITY;

ARTIFICIAL INTELLIGENCE; GEOLOGIC MODELS; LEARNING ALGORITHMS; SENSITIVITY ANALYSIS; SOIL STRUCTURE INTERACTIONS; SOILS; SUPPORT VECTOR MACHINES; VECTORS;

BEARING CAPACITY;

ALGORITHM; ARTIFICIAL INTELLIGENCE; BAYESIAN ANALYSIS; BEARING CAPACITY; COHESIONLESS SOIL; FOUNDATION; LEARNING; SENSITIVITY ANALYSIS; SOIL-STRUCTURE INTERACTION; STATISTICAL ANALYSIS;

EID: 84155184350     PISSN: 03639061     EISSN: 10969853     Source Type: Journal    
DOI: 10.1002/nag.997     Document Type: Article

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