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.
RBF genetic algorithm gas prediction
Bo Zhai Jianfeng Shan
School of Computer and Communication Engineering, Liaoning Shihua University, Fushun, 113001 College of Electronic Science & engineering, Nanjing University of Post and Telecommunication, Nanji
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
3104-3108
2010-05-26(万方平台首次上网日期,不代表论文的发表时间)