Intersection traffic flow forecasting based on ν-GSVR with a new hybrid evolutionary algorithm

Neurocomputing

Volumn 147, Issue 1, 2015, Pages 343-349

  Huang, Min Liang ^a  

^a ORIENTAL INSTITUTE OF TECHNOLOGY   (Taiwan)

Author keywords

Chaos map; Cloud model; Gaussian loss function; Genetic algorithm; Short term traffic flow forecasting; Support vector machine

Indexed keywords

CLOUD COMPUTING; FORECASTING; GENETIC ALGORITHMS; NORMAL DISTRIBUTION; ROADS AND STREETS; SUPPORT VECTOR MACHINES;

CHAOS MAPS; CLOUD MODELING; FORECASTING PERFORMANCE; GAUSSIAN LOSS FUNCTIONS; HYBRID EVOLUTIONARY ALGORITHM; SHORT-TERM TRAFFIC FLOW FORECASTING; SUPPORT VECTOR REGRESSION (SVR); TRAFFIC FLOW FORECASTING;

STREET TRAFFIC CONTROL;

ARTICLE; CLOUD MODEL; CONTROLLED STUDY; EVOLUTIONARY ALGORITHM; FORECASTING; GAUSSIAN LOSS FUNCTION; GENETIC ALGORITHM; INTERSECTION; NORMAL DISTRIBUTION; PREDICTION; PRIORITY JOURNAL; RANDOM ERROR; STATISTICAL MODEL; SUPPORT VECTOR MACHINE; TRAFFIC; WEATHER;

EID: 84924061544     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2014.06.054     Document Type: Article

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