摘要
在前人研究的基础之上提出了一类新的弱化缓冲算子来减缓冲击扰动的影响。新构造的弱化缓冲算子是根据统计学思想的几何平均数、调和平均数、平方平均数而提出来的,把新构造的弱化缓冲算子应用于上海港集装箱吞吐量预测的实例上,通过对弱化之后的数据建立GM(1,1)模型得到预测结果与前人的方法进行比较后发现,新构造的弱化缓冲算子有更高的精度,具有一定的使用价值。
A new class of weakening buffer operators is proposed to mitigate the effects of shock perturbations on the basis of previous studies. The new weakening buffer operator is proposed based on the geometric mean, harmonic mean and square mean of the statistical thought. The new weakening buffer operator is applied to the container throughput forecast of Shanghai Port. The GM(1, 1) model is established for the weakened data and the results are compared with those of the predecessors showing that the weakening buffer operator constructed in this paper has higher precision and has certain value in use.
出处
《辽宁工业大学学报(自然科学版)》
2017年第3期207-210,共4页
Journal of Liaoning University of Technology(Natural Science Edition)
基金
国家自然科学基金项目(11301334)
上海市科委科研计划项目(14DZ2280200)
关键词
弱化缓冲算子
冲击扰动
统计学
weakening buffer operator
perturbation
statistics