Golden WeekTourist FlowForecasting Basedon Neural Network
Kailiang Wu · 2006
Golden Weekisacollection ofnational holidayseffective. However, fewresearches havebeenimplemented in within seven days. Accurate forecast oftourist flowwill boost theforecasting ofthetourist flow, especially inGolden Week. thebusiness oftourism andoptimize theallocation ofresources.Theobjective ofthispaperistoapplycurrent well-known Inthis paper, taking Chinese GoldenWeekasacasestudy, we f implement aforecasting procedure basedonahybrid model forecasting models ofANN andKalmanFilter toforecast the using KalmanFilter andNeural Network. Theresult ofthis tourist flowofduring Chinese Golden Week.Insection 3and technique isevaluated andcompared withother common 4,theforecasting models using KalmanFilter andANN is forecasting models. We conclude thatthehybrid modelis proposed respectively. We comeupwithahybrid model effective andoutperforms theother methods. usingbothofthemethods insection 5 andfollowed by Keyword: Golden Week,Tourist FlowForecasting, Kalman comparison ofmodels. Filter, Neural Network