Abstract
The BP neural network is the most mature and widely used artificial neural network model. It has the simple structure, strong operability and good self learning ability. This paper first introduce the neural network in general. This paper choose the BP neural network as a method of simulated prediction of 2014 to 2023 Jilin Province rural tourism revenue and scenic area. Then this paper identify the prediction indicators of the neural network, complete the network training. The results shows the BP neural network has a good simulation ability of arbitrary complex nonlinear system and a strong fitting ability. The simulation process also indicates the BP neural network has many deficiencies, including difficulty in initial learning rate selection and low convergence speed.
Keywords: Pearman correlation method, Rural tourism, BP Neural Ne
