In order to reflect the influence of complex geologic faults in large underground chamber,the authors put forward a numerical simulation and analysis method for the connotative fault element.

Determining the number of BP neural network hidden layer units;

Determining the number of hidden layer node and analyzing its influence on networks output are important problems in the application of Artificial Neural Networks (ANN).

In the modeling of Neural Network (NN), an optimization algorithm based on the principle of golden section to design the number of hidden layer nodes is utilized for increasing the precision of risk evaluation.

Influence of non-active concealed fault to seismic response of structure;

During the preparative and mining process of fully mechanized coal mining face, meeting small fold is a premonitor that there may be concealed fault around the face.

In order to eliminate the practical problems due to the predication of concealed faults during coal excavation, the paper presents a comprehensive way to forecast faults concealed in mining fields, based on fuzzy mathematics and mining geology.

Measurable forecast of buried fault in front of mining roadway;

The paper presents some application examples of detecting buried faults with near-surface seismic methods i.

For acquiring the properties and activity of the buried fault under the loose overburden in some large cities,the faults in depth from tens metres to two kilometers have been explorated by use of reflection-seismic prospecting method and combining the data in deep and shallow strata and the properties of the faults and the relations between deep faults and shallow faults are determined.