Risk assessment method of coal and gas outburst based on T-S fuzzy neural network

摘要

Based on coal and gas outburst factors, combined with single gas risk index and comprehensive evaluation method to select evaluation index, in order to evaluate coal and gas outburst, evaluation of coal and gas outburst is established t-s fuzzy neural network model. Combined fuzzy logic and neural network, the model is realized in matlab software fuzzy neural network building, training, so as to realize the purpose of network evaluation. A Case Study of Pingdingshan No. 13 Mine to evaluate the danger of coal and gas outburst, the final forecasting result is the same as actual results and different methods to predict the results of other researchers, suggests that feasibility and rationality of T-S fuzzy neural network model, offers a new way for gas outburst risk assessment.