Application study on BP neural network in the incidence rate of pulmonary emphysema

The connotation of BP neural network algorithm and code was introduced. The construction of expert system for forecasting the incidence rate of pulmonary emphysema based on BP neural network was discussed. Methods The data of incidence rate of pulmonary emphysema and meteorological factors in plateau section from 2003 to 2009 were collected and analyzed by using Eviews for windows, version 3.1; the model of Back Propagation artificial neural network was built by Matlab, version7.0. The MER and R² of pulmonary emphysema incidence rate forecasting model were 0.60401% and 0.95329 respectively. The effect of fitting and forecasting of the model were very well. BP neural network had a strong application value in the forecasting the incidence rate of pulmonary emphysema.