Forecasting holiday daily tourist flow based on seasonal support vector regression with adaptive genetic algorithm
The model of support vector regression with adaptive genetic algorithm and the seasonal mechanism is proposed. Parameters selection and seasonal adjustment should be carefully selected. We focus on latest and representative holiday daily data in China. Two experiments are used to prove the effect of the model. The AGASSVR is superior to AGA-SVR and BPNN.
support vector regression adaptive genetic algorithm holiday daily tourist flow forecasting seasonal index adjustment back-propagation neural network