Gas Content Prediction Based On Ga-Rbf Neural Network

Genetic algorithms (GA) and radial basis function (RBF) neural network are combined in this paper. Prediction model of gas content in coal seam is set up based on GA-RBF neural network optimized by genetic algorithm in network structure and parameters. The actual forecasting results show that the algorithm has higher prediction accuracy and faster computing speed and is helpful to mine gas disaster prediction and prevention.