Regional forecast of deep seam mining floor water-bursting based on fuzzy cluster analysis and fuzzy pattern recognition

摘要

Recurring to well-rounded fuzzy theory and technology can realize exact expression and manage between imprecise information and imprecise relation on water-bursting prediction. Advanced a method combining the fuzzy cluster analysis and fuzzy pattern recognition to forecast deep seam mining floor water-bursting. Firstly, the simple integration is classified for the water-bursting by adopting clustering analysis method. The fuzzy model is set up for different degree. Afterwards, the danger degree of the undetermined forecasting sample is predicted by applying fuzzy pattern recognition. Through actual validation, the reliability of the prediction is tested and verified.