Predicting the dynamic properties of glyben using a modular neural network (MNN)

Canadian Geotechnical Journal

Volumn 45, Issue 11, 2008, Pages 1629-1638

  Turan, Alper ^a   Hinchberger, Sean D ^a   El Naggar, M Hesham ^a  

^a UNIVERSITY OF WESTERN ONTARIO   (Canada)

Author keywords

Dynamic soil properties; Frequency dependence; Glycerin bentonite mixture; Modular neural networks; Synthetic clay

Indexed keywords

ALCOHOLS; BENTONITE; CLAY; CLAY MINERALS; FORECASTING; GEOLOGIC MODELS; GLYCEROL; IMAGE CLASSIFICATION; SHEAR STRAIN; SOIL TESTING; SOILS; VEGETATION;

DYNAMIC SOIL PROPERTIES; FREQUENCY DEPENDENCE; GLYCERIN-BENTONITE MIXTURE; MODULAR NEURAL NETWORKS; SYNTHETIC CLAY;

NEURAL NETWORKS;

ARCHITECTURE; ARTIFICIAL NEURAL NETWORK; BENTONITE; CLAY; DYNAMIC PROPERTY; MODEL TEST; PREDICTION; SOIL PROPERTY;

EID: 55749111388     PISSN: 00083674     EISSN: None     Source Type: Journal    
DOI: 10.1139/T08-054     Document Type: Article

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