A radial basis function neural network approach for compressive strength prediction of stabilized soil

Geotechnical Special Publication

Volumn , Issue 191, 2009, Pages 147-153

  Heshmati, R Ali Akbar ^a   Alavi, Amir Hossein ^a   Keramati, Mohsen ^a   Gandomi, Amir Hossein ^b  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b TAFRESH UNIVERSITY   (Iran)

Author keywords

Compressive strength; Mixtures; Neural networks; Predictions; Soil stabilization

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; COMPREHENSIVE MODEL; LABORATORY STUDIES; MODEL DEVELOPMENT; NATURAL SOILS; NUMERICAL RESULTS; PARAMETRIC STUDY; PREDICTIONS; RADIAL BASIS FUNCTION NEURAL NETWORKS; RADIAL BASIS FUNCTIONS; SOIL STABILIZATION; STABILIZED SOILS; STABILIZING ADDITIVES; TEST RESULTS; UNCONFINED COMPRESSIVE STRENGTH;

ASPHALT PAVEMENTS; ATTITUDE CONTROL; COMPRESSIVE STRENGTH; FORECASTING; GEOLOGIC MODELS; NUMERICAL ANALYSIS; RADIAL BASIS FUNCTION NETWORKS; ROADS AND STREETS; SOIL MECHANICS; SOIL TESTING; SOILS; STABILIZATION;

NEURAL NETWORKS;

EID: 77950439874     PISSN: 08950563     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/41043(350)20     Document Type: Conference Paper

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