Multi-factor pattern recognition method for predicting rock burst risk of Yuejin coal mine
On the basis of making sure the relationship between influence factors and danger of rockburst, a multifactor pattern recognition model has been built, and then the probability prediction criterion for rockburst has been identified. Multi-factor pattern recognition method is based on the result of geo-dynamic division and spatial data management. neural network and fuzzy reasoning method were combined to divide the danger area, threatened area and safety area of rockburst. Rockburst danger can be estimated by this method, and rockburst disaster forecast accuracy is improved.