Forecasting holiday daily tourist flow based on seasonal support vector regression with adaptive genetic algorithm

Applied Soft Computing

Volumn 26, Issue , 2015, Pages 435-443

  Chen, Rong ^a,b,c   Liang, Chang Yong ^a,c   Hong, Wei Chiang ^d   Gu, Dong Xiao ^a,c  

^a HEFEI UNIVERSITY OF TECHNOLOGY   (China)

^b Bengbu University   (China)

^c BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^d ORIENTAL INSTITUTE OF TECHNOLOGY   (Taiwan)

Author keywords

Adaptive genetic algorithm; Back propagation neural network; Holiday daily tourist flow forecasting; Seasonal index adjustment; Support vector regression

Indexed keywords

BACKPROPAGATION; FORECASTING; GENETIC ALGORITHMS; LEISURE INDUSTRY; NEURAL NETWORKS; TORSIONAL STRESS; TOURISM INDUSTRY;

ADAPTIVE GENETIC ALGORITHMS; BACK PROPAGATION NEURAL NETWORKS; FLOW FORECASTING; NONLINEAR CHARACTERISTICS; NONLINEAR TIME SERIES; PARAMETERS SELECTION; SEASONAL INDEX ADJUSTMENT; SUPPORT VECTOR REGRESSION (SVR);

SUPPORT VECTOR REGRESSION;

EID: 84912139704     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2014.10.022     Document Type: Review

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