By analyzing and studying the survey data,we have obtained ground movement and deformation rules and different kinds of angle parameters as well as prediction parameters under the condition of.

In view of the probability integral method in prediction of mining subsidence,the paper analyzes the errors of movement and deformation values resulted from the errors of primary prediction parameters, and analyzes the corresponding regularity of variation and relations.

This paper analyzes these observation data and acquires surface deformation rules,various angle parameters and prediction parameters under different full-mechanized caving mining condition in this area.

Prediction parameters of the model vary with mining conditions and the size of goaf, so it is amended in part.

Determination of mining subsidence predicting parameters using fuzzy pattern recognition;

Probability integral method is typically used in predicting the surface displacement and distortion for strip pillar mining,but the prediction precision lies on its predicting parameters.