Nonlinear neural-based modeling of soil cohesion intercept

KSCE Journal of Civil Engineering

Volumn 15, Issue 5, 2011, Pages 831-840

  Mollahasani, Ali ^a   Alavi, Amir Hossein ^b   Gandomi, Amir Hossein ^c   Rashed, Azadeh ^a  

^a FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

^b IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^c TAFRESH UNIVERSITY   (Iran)

Author keywords

artificial neural networks; nonlinear modeling; soil cohesion intercept; soil physical properties

Indexed keywords

ARTIFICIAL NEURAL NETWORK; COHESION INTERCEPT; DEVELOPED MODEL; DRY DENSITY; EXPERIMENTAL DATABASE; LIQUID LIMITS; MLP MODEL; MOISTURE CONTENTS; MULTI LAYER PERCEPTRON; NEW MODEL; NON-LINEAR LEAST SQUARES; NONLINEAR MODELING; PREDICTION PERFORMANCE; REGRESSION MODEL; SOIL COHESION; SOIL COHESION INTERCEPT; SOIL PHYSICAL PROPERTY; SOIL SAMPLE; UNDRAINED; UNDRAINED TRIAXIAL TEST;

ADHESION; MULTILAYER NEURAL NETWORKS; NONLINEAR SYSTEMS; PHYSICAL PROPERTIES; PILE FOUNDATIONS; REGRESSION ANALYSIS; SENSITIVITY ANALYSIS; SOIL TESTING; SOILS;

GEOLOGIC MODELS;

EID: 79955661938     PISSN: 12267988     EISSN: 19763808     Source Type: Journal    
DOI: 10.1007/s12205-011-1154-4     Document Type: Article

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