Studies of an ANFIS-based approach on the prediction of the coal and gas burst

摘要

ANN-based approach for the inverse prediction of the coal and gas burst has such shortcomings as slow speed of convergence,poor capability of fitting,low accuracy of prediction and indefiniteness of the training results.In order to overcome these shortcomings,Adaptive Neural-Fuzzy Inference System is used to establish an ANFIS-based approach for the prediction of the coal and gas burst.Furthermore,this approach is used for the inverse predictions of several examples.The inverse prediction results show that the approach has the merits of high speed of convergence,good capability of fitting,high accuracy of prediction and definiteness of the training results and is an excellent approach for the inverse prediction of the coal and gas burst.On the other hand this paper makes an attempt to give an fuzzy grade of the coal and methane burst.