Coal Mine Safety Forecast Based on Least Square Support Vector Machine
Based on Least Squares Support Vector Machine (LS-SVM), a non-linear model of coal mine system safety forecast is suggested in the paper, and its procedure is also presented in detail. According to structure risk minimization, the model can desirably treat the small-sample learning and efficiently solve the difficulties in forecasting coal mine system safety by previous forecasting models. Forecast simulation experiments show the model is of higher forecasting precision, higher speed, and easy realization. Therefore, accuracy and reliability of coal mine system safety forecast can be promoted effectively.
coal mine system safety small sample condition least square support vector machine (ls-svm) non-linear forecast
ZHANG Shuiping
School of Economics and Management, Anhui University of Science and Technology, P.R.China, 232001
国际会议
威海
英文
434-439
2010-07-24（万方平台首次上网日期，不代表论文的发表时间）