Wavelet LS-SVR for short-term traffic flow forecasting

Mediterranean Journal of Measurement and Control

Volumn 6, Issue 2, 2010, Pages 39-45

  Wei, D ^a   Chen, F ^b   Chen, C ^c  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b NANJING UNIVERSITY   (China)

^c NONE

Author keywords

Least square support vector regression; Particle swarm optimization; Short term traffic forecasting; Wavelet function

Indexed keywords

ARBITRARY FUNCTIONS; AUTO REGRESSION MOVING AVERAGES; COMPUTING SPEED; FORECASTING ACCURACY; FORECASTING MODELS; FUNCTION APPROXIMATION PROBLEMS; GLOBAL OPTIMUM; KERNEL FUNCTION; LEAST SQUARE SUPPORT VECTOR REGRESSIONS; MERCER CONDITION; NON-LINEARITY; OPTIMAL CONTROLS; PARTICLE SWARM; POLYNOMIAL FUNCTIONS; RADIAL BASIS FUNCTIONS; RBF KERNELS; SHORT-TERM TRAFFIC FLOW; SHORT-TERM TRAFFIC FLOW FORECASTING; SIGNIFICANT IMPACTS; SQUARE INTEGRABLE; SUPPORT VECTOR REGRESSIONS; TIME-PERIODS; TRAFFIC FLOW; TRAFFIC FORECASTING; URBAN TRAFFIC; WAVELET FUNCTION;

NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); RADIAL BASIS FUNCTION NETWORKS; REGRESSION ANALYSIS; TRAFFIC SURVEYS;

FORECASTING;

EID: 77955703305     PISSN: 17439310     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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