In recent years, deep learning (DL) technology has developed rapidly, which has been highly concerned by academia and industry. It has been widely used in image, voice, natural language processing, big data feature extraction and other aspects, and has also made very significant achievements. It is now a very important research direction in the field of artificial intelligence. The research on data analysis and prediction based on DL has also received more and more attention in recent years and has gradually become a research hotspot. Based on this, this fusion DL technology has studied the analysis and prediction of tourism data (TD). The training of DL prediction model network and TD are briefly analyzed; taking the TD of M province as the research object, this paper analyzes the number of tourists and hotels in the province and the experimental results verify the feasibility and effectiveness of applying the depth learning algorithm to the analysis and prediction of TD.

Xiahua Huang. Analysis and Prediction of Tourism Data with Deep Learning. International Journal of Neural Network (2020), Vol. 1, Issue 2: 25-31. https://doi.org/10.38007/NN.2020.010204.

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