Prediction of residual friction angle of clays using artificial neural network

Engineering Geology

Volumn 100, Issue 3-4, 2008, Pages 142-145

  Das, Sarat Kumar ^a   Basudhar, Prabir Kumar ^b  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

Author keywords

Clays; Neural network; Shear strength; Statistical analysis

Indexed keywords

CLAY MINERALS; FRICTION;

ARTIFICIAL NEURAL NETWORK; CLAYS; LONG-TERM STABILITY; NEURAL NETWORK; RESIDUAL FRICTION; RESIDUAL STRENGTH; SHEAR STRENGTH; STATISTICAL ANALYSIS;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; ATTERBERG LIMIT; CLAY; FRICTION; MODELING; RESIDUAL STRENGTH; SENSITIVITY ANALYSIS; SHEAR STRENGTH;

EID: 48949095958     PISSN: 00137952     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enggeo.2008.03.001     Document Type: Article

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