The Exploitation Of Medical Meteorology Software Based On Artificial Neural Network

The methods and exploitation service software of applied meteorology is the hotspot of Aerography at present. Medical meteorology is an important part of Applied meteorology. The influences and function of some weather condition and its changes on the occurrence, precaution, treatment and healing of diseases are its mainly research contents. This paper selects those elements which have significant effect on diseases by statistical analysis in Yinchuan area and set up ANN model for the incidence of the diseases by putting those elements into many-level BP arithmetic of Feed-forward Backprop neural network as input varieties to study for training. And comparing the outcome of it with that of statistical model. The result shows that this method is easy to be finished by smaller error and higher ability on historical simulation and independent prediction, which provide a new method for forecasting the incidence of a disease. Based these two types of model, we set up a medical service system which is easily operated and applicable with nice interface. It can be run under the Windows 9x or higher edition.At present, it has been used in the meteorological work in Ningxia area.