Discussion of Radon in Uranium Mining Disaster Model Based on Artificial Neural Network

Radon is the only one gas which produced in the process of mining uranium. It´s very harmful to the human body. In this paper, the feed-forward neural network (BP ANN) structural features, data analysis, the learning process and so on are analyzed. We set up radon of Fuzhou Jin-An Uranium Industry Limited Company study and training for the state samples and samples of the forecast, and then establish uranium mining radon disaster model. This paper discusses the radon in uranium mining model methods and its effectiveness based on the BP neural network. Examples of calculation shows that the using of artificial neural network approaching to uranium mining disasters is been relatively satisfied with the results. At the same time, the application of neural network of radon in uranium mining disaster prediction of the feasibility is proved.