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Prediction of Tourist Flow Based on Deep Belief Network and Echo State Network
Revue d'intelligence artificielle : Revue des Sciences et Technologies de l'Information
The accuracy of tourist flow prediction is crucial to the sustainable development of tourism industry. However, it is very difficult to forecast the highly nonlinear tourist flow in an accurate manner. The artificial neural network (ANN) has been widely adopted to predict nonlinear time series, but its shallow structure cannot effectively learn the features of high-dimensional tourist flow data. To solve the problem, this paper puts forward a tourist flow prediction model based on deep learningdoi:10.18280/ria.330403 fatcat:gp4lueewwzh7zdo6opg4v6utli