摘要
为了能够准确地预测和描述煤岩界面预测问题,提出一种基于概率分布的煤岩层预测算法,通过训练开采过程中已存储的截割数据,并以最大似然估计法优化高斯过程回归算法中的超参数得到预测模型。
In order to predict and describe the coal rock interface prediction problem exactly,a prediction model of coal seam based on probability distributions is proposed,the maximum likelihood estimation method is used to optimize the hyper-parameter of probability distributions model based on Gaussian progress by training the prospecting data in the mining process.
作者
齐爱玲
康文惠
刘涛
吴海燕
QI Ai-ling;KANG Wen-hui;LIU Tao;WU Hai-yan(College of Computer Science and Technology,Xi'an University of Science and Technology,Xi'an 710054,China)
出处
《煤炭技术》
CAS
2018年第12期29-31,共3页
Coal Technology
基金
国家自然基金项目(61674121)
碑林区科技计划(GX1612)
关键词
概率分布
煤层预测
最大似然估计
交叉验证
probability distribution
prediction of coal seam
maximum likelihood estimate
cross-validation