Abstract: The application of neural networks method in mid-short-term (half to one year) earthquake prediction based on the indices of seismic activity and in short-term (three months) earthquake prediction based on the membership functions of nonseismic precursory anomalies have been studied.The forward—type model of neural networks (NN) containing one or two medium layers was taken, and the BP algorithm was applied correspondingly.On the basis of long—period observational data of seismicity in North China region and short-range levelling, geoelectrical resistivity, geomagnetic total intensity, water level, radon content in groundwater etc.from more than 80 stations/kinds in the Capital Circle and its vicinity, the actual calculations, analyses and checks for applications of NN in both aspects mentioned above were made.The check results of occurrence times and magnitudes of several large earthquakes were satisfactory.Therefore, the results obtained show that the neural networks method/tech-nology can be applied to the earthquake pursuit prediction more effectivily and prospectivily.