Accuracy of predictive models for dynamic modulus of hot-mix asphalt

Journal of Materials in Civil Engineering

Volumn 21, Issue 6, 2009, Pages 286-293

  Ceylan, Halil ^a   Schwartz, Charles W ^b   Kim, Sunghwan ^a   Gopalakrishnan, Kasthurirangan ^a  

^a IOWA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

Accuracy; Asphalt pavements; Mixtures; Neural networks; Predictions

Indexed keywords

ACCURACY; ARTIFICIAL NEURAL NETWORK; DYNAMIC MODULI; HIGH TEMPERATURE; HOT MIX ASPHALT; INPUT VARIABLES; LABORATORY MEASUREMENTS; LOW TEMPERATURES; MECHANISTIC-EMPIRICAL PAVEMENT DESIGN GUIDES; MODEL ACCURACY; PREDICTION ACCURACY; PREDICTIONS; PREDICTIVE ACCURACY; PREDICTIVE MODELS; TRAFFIC CONDITIONS;

ASPHALT PAVEMENTS; BACKPROPAGATION; FORECASTING; MIXTURES; NEURAL NETWORKS; PREDICTIVE CONTROL SYSTEMS; REGRESSION ANALYSIS; ROADS AND STREETS;

ASPHALT;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; ASPHALT; DESIGN; DYNAMIC ANALYSIS; LABORATORY METHOD; NUMERICAL MODEL; PAVEMENT; PREDICTION; REGRESSION ANALYSIS;

ALLIGATOR;

EID: 66249148441     PISSN: 08991561     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)0899-1561(2009)21:6(286)     Document Type: Article

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