A stable and optimized neural network model for crash injury severity prediction

Accident Analysis and Prevention

Volumn 73, Issue , 2014, Pages 351-358

  Zeng, Qiang ^a   Huang, Helai ^a  

^a CENTRAL SOUTH UNIVERSITY   (China)

Author keywords

Convex combination algorithm; Crash injury severity; Neural network; Structure optimization

Indexed keywords

APPROXIMATION ALGORITHMS; BACKPROPAGATION; FORECASTING; HIGHWAY ACCIDENTS; HIGHWAY ENGINEERING; SENSITIVITY ANALYSIS; STRUCTURAL OPTIMIZATION;

CLASSIFICATION ACCURACY; CONVEX COMBINATIONS; CRASH INJURY SEVERITY; EXPLANATORY VARIABLES; FUNCTION APPROXIMATION; NEURAL NETWORK MODEL; NON-LINEAR RELATIONSHIPS; STRUCTURE OPTIMIZATION;

NEURAL NETWORKS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; HUMAN; INJURY; INJURY SCALE; REGRESSION ANALYSIS; STATISTICAL MODEL; TRAFFIC ACCIDENT; UNITED STATES;

ACCIDENTS, TRAFFIC; ALGORITHMS; FLORIDA; HUMANS; LOGISTIC MODELS; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); REGRESSION ANALYSIS; TRAUMA SEVERITY INDICES; WOUNDS AND INJURIES;

EID: 84907842827     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2014.09.006     Document Type: Article

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