The pursuit of mining operations disturbs the equivalence of groundwaters, which triggers the comprimation process in compressible layers. In underground mines, intermediate impacts, connected with drainage, sum up with so-called direct mining impacts. Total displacements on the land surface are recorded using surveyed field measurement. Drainage changes are often neglected, or even directly skipped, in analyses of surface changes due to their relatively small values (of the dm order) and the long occurrence time.
The whole deformation process in a mountain formation subject to drainage is an extremely complex issue, and its course is conditional upon a number of factors. The presently applied methods for forecasting displacements and deformations following from mountain formation drainage are based on models that require the knowledge of a considerable number of parameters and detailed knowledge of the geological structure of the mountain formation.
In the proposed research has decided to employ a new approach to this issue called Artificial Intelligence.