Adaptive neural network models for automatic incident detection on freeways

Neurocomputing

Volumn 64, Issue 1-4 SPEC. ISS., 2005, Pages 473-496

  Srinivasan, Dipti ^a   Jin, Xin ^a   Cheu, Ruey Long ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Adaptive neural networks; Incident detection; Multi layer feed forward neural network; Network pruning; Probabilistic neural network

Indexed keywords

HIGHWAY SYSTEMS; MATHEMATICAL MODELS; PROBABILITY; TRAFFIC CONTROL;

ADVANCED TRAFFIC MANAGEMENT AND INFORMATION SYSTEMS (ATMIS); AUTOMATIC INCIDENT DETECTION (AID); BASIC PROBABILISTIC NEURAL NETWORKS (BPNN);

NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; COMPUTER PREDICTION; COMPUTER PROGRAM; COMPUTER SIMULATION; DATA BASE; HIGHWAY; INFORMATION SYSTEM; MATHEMATICAL ANALYSIS; MOTOR VEHICLE; POSITIVE FEEDBACK; PRIORITY JOURNAL; PROBABILITY; SIGNAL TRANSDUCTION; SINGAPORE; SYSTEM ANALYSIS; TRAFFIC SAFETY; VELOCITY;

EID: 15844385434     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2004.12.001     Document Type: Article

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