Abstract: The correlation of the incidence of pneumoconiosis with dust toxicity, dust concentration, and exposure duration is non-linear. In this paper, neural network has been applied to build a model for the incidence of pneumoconiosis and the influencing factors, and to develop a special software. By learning from samples, this software could be used to assess and predict accurately the pneumoconiosis hazard.