| 杨国颖,王庆岭.基于多项式拟合和GM(1，1)模型在煤矿伤亡事故中的数据预测模型[J].电气自动化,2016,(1):12~14, 22 |
| 基于多项式拟合和GM(1，1)模型在煤矿伤亡事故中的数据预测模型 |
| A Data Prediction Model for Coal Mine Casualties Based on Polynomial Fitting and GM (1,1) Model |
| 修订日期：2015-05-13 |
| DOI： |
| 中文关键词: 煤矿事故 预测 多项式拟合 GM(1,1) MATLAB工具箱 |
| 英文关键词:coal mine accident prediction polynomial fitting GM (1,1) MATLAB toolbox |
| 基金项目:甘肃省财政厅专项资金立项资助(甘财教【2013】116号) |
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| 中文摘要: |
| 通过建立多项式拟合模型找出影响预测结果的异常数据,剔除后建立GM(1,1)模型。对某集团1991年-2003年的伤亡事故统计数据,运用MATLAB工具箱,由图形观测和相对误差分析,提高了模型预测的准确性和适应性,其预测精度大幅提高,预测期望值高于单一的多项式拟合和灰色预测模型。 |
| 英文摘要: |
| Abnormal data affecting prediction results is detected by establishing a polynomial fitting model, and GM (1,1) model is established after elimination. With respect to the statistic casualties of a group company in the period of 1991-2003, we use the MATLAB toolbox to make graphical observation and relative error analysis, thus improving the accuracy and adaptability of model prediction. Its prediction expectation is higher than that of a single polynomial fitting or grey prediction model. |
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