华中师范大学学报（自然科学版）2017，Vol.51Issue(2)：168-172,5.
基于灰色马尔可夫模型的采煤机生产率的预测
The forecast of shearer productivity based on gray Markov model
摘要
Abstract
Productivity is a measure of an important indicator of the shearer performance,which is of important guiding significance for the scientific decision-making and development of coal mining plan.In this paper,index evaluation system of the shearer productivity is established,and forecast to the shearer productivity is carried using grey GM (1,1) model and grey Markov model separately.After comparison it is found that the grey Markov model prediction accuracy and precision are better than GM (1,1) model,especially for data with large volatility and randomness which has the very good fitting and prediction effect.The grey Markov model provides an effective way and method for the prediction assessment of shearer production performance influenced by multiple factors.关键词
生产率/采煤机/GM(1,1)模型/灰色马尔可夫模型Key words
productivity/shearer/GM (1,1) model/gray Markov model分类
矿业与冶金引用本文复制引用
赵丽娟,王建勇,朱煦..基于灰色马尔可夫模型的采煤机生产率的预测[J].华中师范大学学报（自然科学版）,2017,51(2):168-172,5.基金项目
国家自然科学基金项目(51574140). （51574140）
