In view of the harmful effects of gas and coal dust explosion and gas outburst in coal mine

the ant colony optimization algorithm and BP neural network technology are applied to the prediction of gas emission to establish more accurate prediction models.Focus on the BP network model selection and optimization of training

the ant colony optimization algorithm is used to solve the problem that the BP neural networks is easy to fall into local convergence.Simulation and actual data show that the improved neural network algorithm for the prediction of gas emission can achieve good results.