Time series AR model was developed and prediction was made. Results show that time series AR model is suitable for transformed equipment down time prediction with mean absolute error(MAE) controlled within 2.73%.
将差值序列作为输入数据,采用时间序列分析法中的AR模型进行建模和预测,结果表明AR模型适合于经转换后的设备故障停机时间的数据建模,预测值的平均绝对误差为2.73%,预测结果较好。
参考来源 - 半导体制造企业中“瓶颈”设备的故障预测The model calibration result revealed that trend of the simulation runoff line was inosculated with the observation runoff line, its medium absolute error is 6.72m~(3)/s, and the correlation coefficientis 0.932.
模型率定结果表明模拟径流曲线与实测径流曲线的变化趋势基本吻合,模拟值和监测值的中值绝对误差为6.72m3/s,相关系数为0.932。
参考来源 - 期刊学术社区·2,447,543篇论文数据，部分数据来源于NoteExpress
The resolution rate of QRS complex was 99.48% both with relative index and absolute error index.
相关评价指标和绝对误差指标联合应用对QRS波群分辨率高达99.48%。
This article introduces an algorithm of interpolation, which is based on the absolute error of pixel in color.
介绍了一种基于像素点的颜色绝对误差的图像插值算法。
This method could be used in some linear and nonlinear problems, and we get their maximum absolute error estimates easily.
应用这种方法求解出一些线性与非线性的问题，并得出其相应的极大误差。
应用推荐