Aiming at the problem that coal and gas outburst is difficult to early warning, an early warning index system for coal and gas outburst was analyzed and established in this article. On this basis, an early warning method based on bi-directional long short-term memory (BiLSTM) neural network algorithm was proposed. The local optimal solution was optimized to obtain the maximum or minimum value of the fitness function. An early warning model for coal and gas outburst based on the combination of the hunter-prey optimization algorithm and BiLSTM (H...
