Notice of RetractionApplication of BP neural network model on forecasting the number of tourists in Hainan province

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Tourist quantity is an important factor deciding economic benefits and sustainable development of tourism. Thus tourist quantity prediction becomes the important content of tourism development planning. Based on the tourist quantity of Hainan province for more than twenty years, this paper establishes tourist quantity prediction model according to BP neural network, in which the principle and algorithm of BP neural network is used. And this paper also predicts the future tourist quantity of Hainan province. The matlab emulational result of BP neural network model shows based on BP neural network tourist quantity prediction model can exactly predict the future tourist quantity of Hainan province, thus providing a new idea and means for tourist quantity prediction.