Prediction of coal mine accidents based on gray elman neural networks

With the rapid development of the coal industry,coal mine accidents occurred frequently,the production safety situation is still grim.Aiming at the characteristics of coal mine accidents,according to China's coal mine million tons death rate from 1998 to 2007,by combining the gray model GM(1,1)and Elman neural networks prediction model,the prediction model of coal mine accidents was established.The results showed that the gray Elman neural networks model is superior to the traditional gray prediction model,in line with the characteristics of coal mine accidents.This allowed for a coal mine accidents in a scientific forecast and analysis,so as to provide a basis for safety management in order to minimize accidents.