The Study Of Stability Classification Of Mining Roadway Based On Ann Method

This paper used the method of the artificial neural network to tackle with the problem of stability classification of surrounding rocks of mining roadway in Yanzhou mining area. The paper has analysed various kinds of factors witch influence the surrounding rocks stability of the mining roadway. Syntheticated in the article, 14 categorised categorised indexes of surroundings rock stability have determined. The artificial neural network model of BP is considered to be the most suitable method for the model classification. Traditional standard BP algorithm exists the problems such as easy to fall into local minimum point of net, trainning slowly, in addition, how to confirm the reasonable neural network structure to a perticulure problem is hard too.The paper use Fuzzy math method to tackle with these question ,and give the best structure of neural network to the stability classification problem of srrounding rocks of mining roadway in yanzhou mining area.TSo, by this new model, we implement the scientifically classification on stability of the wall rock of mining roadway in YanZhou mining area and provide the theoretical reference which to design the anchor shank sporting scientifically, economical, and effectively. At last we design a set of software used in neural net training, classifying of mining roadway, designing of anchor shank supporting and data base management by the programming method combining structure with object—oriented .Thus the application of research achievement is solved effectively...