Port throughput forecasting by MARS-RSVR with chaotic simulated annealing particle swarm optimization algorithm

Neurocomputing

Volumn 147, Issue 1, 2015, Pages 239-250

  Geng, Jing ^a   Li, Ming Wei ^a   Dong, Zhi Hui ^a   Liao, Yu Sheng ^b  

^a College of Shipbuilding Engineering Harbin Engineering University ^*  (China)

^b ORIENTAL INSTITUTE OF TECHNOLOGY   (Taiwan)

Author keywords

Chaotic mapping; Forecasting; Particle swarm optimization (PSO); Port throughput; Robust v support vector regression (RSVR); Simulated annealing (SA)

Indexed keywords

ALGORITHMS; ECONOMICS; FORECASTING; MULTIVARIABLE SYSTEMS; OPTIMIZATION; REGRESSION ANALYSIS; SIMULATED ANNEALING; THROUGHPUT; VECTORS;

CHAOTIC MAPPING; CHAOTIC SIMULATED ANNEALING; COMPLEX NONLINEAR DYNAMICS; PARAMETER COMBINATION; SIMULATED ANNEALING PARTICLE SWARM OPTIMIZATIONS; SOCIO-ECONOMIC FACTOR; SOCIO-ECONOMIC INDICATORS; V-SUPPORT VECTOR REGRESSIONS;

PARTICLE SWARM OPTIMIZATION (PSO);

ALGORITHM; ARTICLE; CHAOTIC SIMULATED ANNEALING PARTICLE SWARM OPTIMIZATION ALGORITHM; CHINA; CONTROLLED STUDY; FEASIBILITY STUDY; FORECASTING; MATHEMATICAL MODEL; MEASUREMENT ACCURACY; MULTIVARIABLE ADAPTIVE REGRESSION SPLINE; NONLINEAR SYSTEM; PORT THROUGHPUT FORECASTING; PRIORITY JOURNAL; ROBUST V SUPPORT VECTOR REGRESSION; SOCIAL ASPECT; SUPPORT VECTOR MACHINE;

EID: 84924045538     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2014.06.070     Document Type: Article

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