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.

关键词： Coal and gas burst Fuzzy logic Neural-network Prediction

作者: Sun Haitao Hu Qianting Liang Yunpei

作者单位: Faculty of Civil Engineering,Chongqing University,Chongqing,400044;China Chongqing branch of China C Chongqing branch of China Coal Research Institute,Chongqing,400037,China

会议类型: 国际会议

会议名称: The 2007 International Conference on Mine Hazards Prevention and Control(2007矿山灾害预防与控制国际学术会议)

会议地点: 青岛

会议语种:英文

页码: 40-46

在线出版日期: 2007-10-17（万方平台首次上网日期，不代表论文的发表时间）