Evaluation strategy of mine gas outburst risk level based on fuzzy neural network

Abstract

Because the complicated non-linear relation between the coal gas outburst and its affecting factors, it is difficult to establish model with traditional mathematical method. The fuzzy system and the neural network were organically combined to establish evaluation strategy of coalmine gas outburst risk level based on fuzzy neural network. This paper made use of fuzzy mathematics to express and deal with the imprecise data and fuzzy information, and utilized self-adaptive neural networks system to solve the problems. Simulation results show that the model is reliable and precise and outburst risk level can be accurately predicted with proposed method and the mean error is small.