摘要
为了解决生产现场数据波动大、数据处理困难,统计结果失真等问题,本文提出利用Smooth函数对数据样本进行预处理。针对马钢SO_2排放数据,通过对比研究不同方法的误差,确定5点滑动平均法效果最佳。
Smooth function is used to pre-disposing data sample for solving the problem of fluctuation in production and data treating and result distortion. On the background of MaSteel of emission data of SO2, method of five point moving average is proved optimum by comparative error.
出处
《资源节约与环保》
2017年第6期94-95,共2页
Resources Economization & Environmental Protection
关键词
Smooth函数
预处理
5点滑动平均法
Smooth function
pre-disposing
method of five point moving average
