ABSTRACT
Zhang, J. and Wang, B., 2020. Design of estimation algorithm of island intelligent tourist volume based on data mining. In: Malvárez, G. and Navas, F. (eds.), Global Coastal Issues of 2020. Journal of Coastal Research, Special Issue No. 95, pp. 985-990. Coconut Creek (Florida), ISSN 0749-0208.
The traditional intelligent neural network PID control method is not conducive to the estimation of the quantity control of the island intelligent tourism. In this paper, a particle swarm optimization (PSO) algorithm is proposed to estimate the tourist volume of island intelligent tourism. The fuzzy PID control method is used to establish the intelligent output scheduling control model. In this paper, the adaptive scheduling weighting coefficient of island tourism is introduced, and the radial optimization of iterative steps of particle swarm optimization is used to estimate the island intelligence tourism. On this basis, a mathematical model of intelligent tourism evaluation based on data mining theory is established. The simulation results show that the algorithm has high precision and good convergence, and improves the robustness of island tourism scheduling control.
