Prediction of the unconfined compressive strength of compacted granular soils by using inference systems

Environmental Geology

Volumn 58, Issue 7, 2009, Pages 1429-1440

  Kalkan, Ekrem ^a   Akbulut, Suat ^a   Tortum, Ahmet ^a   Celik, Samet ^a  

^a ATATÜRK UNIVERSITY   (Turkey)

Author keywords

Adaptive neuro fuzzy inference system; Artificial neural networks; Granular soil; Prediction; Unconfined compressive strength

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ARTIFICIAL NEURAL NETWORKS; GRANULAR SOIL; PREDICTION; UNCONFINED COMPRESSIVE STRENGTH;

BACKPROPAGATION; CEMENTS; CLAY MINERALS; COMPRESSIVE STRENGTH; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; POWDERS; SILT; SOIL TESTING; WATER CONTENT;

GEOLOGIC MODELS;

ARTIFICIAL NEURAL NETWORK; CLAY; COMPACTED SEDIMENT; COMPRESSIVE STRENGTH; GEOTECHNICAL ENGINEERING; GRAIN SIZE; GRAVEL; PREDICTION; SAMPLE PREPARATION; SAND; SILT; SOIL PROPERTY;

EID: 70449366422     PISSN: 09430105     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00254-008-1645-x     Document Type: Article

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