Abstract: Based on GPS monitoring data on No.2 Nickel Mine Area in Jinchuan, a new idea of quantitative prediction of ground surface movement by means of GIS and ANN(Artificial Neural Network) was put forward and the specific method was given.The whole process of ground surface movement prediction based on ANN may be carried out in GIS platform by Avenue programming, including designing data mode, designing and training network framework, testing network framework, forecasting by network, and so on.Such works as data processing, contrasting testing results and analysing forecasting results were achieved by GIS.The Elman ANN prediction model was realized by the technique of Matlab 6.5 program with VB6.0, which was integrated in GIS by Avenue programming.The results stated that the ANN prediction model supported by GIS had a theoretical feasibility and realistic significance in predicting ground surface movement, and GIS and ANN had a wide application prospect in prediction of exploitation subsidence.

Key words: Ground surface movement, Prediction, GIS, ANN(Artificial Neural Network)