一类新的强化缓冲算子及其数值仿真
Study on a kind of new strengthening buffer operators and numerical simulations
根据新信息优先利用原理,在已有强化缓冲算子研究的基础上,构造一类新的强化缓冲算子,同时研究了它们的一些特性,克服了原有强化缓冲算子对序列新信息利用不够充分的缺陷,有效地解决了冲击扰动数据序列在建模型预测过程中常常出现的定量预测结果与定性分析结论不符的问题,算例仿真表明:与已有强化算子相比,这类新的强化缓冲算子显著地提高了GM(1,1)模型的预测精度。
According to the theory of prior using of new information,based on the research of already existed strengthening buffer operators, some new strengthening buffer operators are established. Meanwhile,their characters are studied. The flaw that the existing strengthening buffer operators can,t fully use new information of the data sequence is overcame. The problem that there are some contradictions between quantitative analysis and qualitative analysis in pretreatment for vibration data sequences is resolved effectively. An example simulation shows, compared with the existing strengthening buffer operators, the kind of new strengthening buffer operators increases the forecast precision of GM(1,1) remarkably.
算子 / 强化缓冲算子 / 几何平均强化算子 / GM(1 / 1)
operator / strengthening buffer operator / geometry average strengthening operator / GM(1 / 1)
党耀国(1964-),男,河南驻马店市人,南京航空航天大学教授、博士生导师,研究方向为系统工程、灰色系统理论
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