【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。更多还原

【Abstract】 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.更多还原