Optimization of Tourist Organization in Expo based on ANN

The tourist organization of the International Horticultural Expo will deeply reflects the 'green' Expo. In this paper, the researchers focus on the characteristic of the Expo according to related research and practical survey, which proposed an organization solution. On the basis of artificial neural network, the tourist flow was regarded as electric current, and the sight spot as exciting point. First, the paper figures out the occupant density, the construct standard rho k, and the density curve. Then, it draws the tourist exciting curve by a questionnaire and statistic. Finally, it designs a solution based on changing the exciting point and exciting degree.