Prediction of soil composition from CPT data using general regression neural network

Journal of Computing in Civil Engineering

Volumn 20, Issue 4, 2006, Pages 281-289

  Kurup, Pradeep U ^a   Griffin, Erin P ^a  

^a University of Massachusetts   (United States)

Author keywords

Artificial intelligence; Cone penetration tests; Data analysis; Geotechnical engineering; Neural networks; Predictions; Soil classification; Soil compaction

Indexed keywords

CONE PENETRATION TESTS (CPT); GENERAL REGRESSION NEURAL NETWORK (GRNN); PREDICTIONS; SOIL CLASSIFICATION; SOIL COMPACTION;

ARTIFICIAL INTELLIGENCE; COMPOSITION; DATA ACQUISITION; GEOTECHNICAL ENGINEERING; GRAIN SIZE AND SHAPE; MATHEMATICAL MODELS; NEURAL NETWORKS; PARTICLE SIZE ANALYSIS; REGRESSION ANALYSIS;

SOILS;

EID: 33745276242     PISSN: 08873801     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)0887-3801(2006)20:4(281)     Document Type: Article

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