摘要
通过对缓冲算子的研究,构造了几何平均弱化缓冲算子GAWBO、加权平均弱化缓冲算子WAWBO、加权几何平均弱化缓冲算子WGAWBO等若干个具有普遍意义的实用弱化算子,并研究了其特性及各种弱化缓冲算子之间的内在关系,从而使序列前一部分增长(衰减)速度过快,而后一部分增长(衰减)速度过缓的冲击扰动系统数据序列在建模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得到有效解决。
Based on the present theories of buffer operators, we established the GAWBO(Geometric Average Weakening Buffer Operator), WAWBO (Weighted Average Weakening Buffer Operator), and WGAWBO (Weighted Geometric Average Weakening Buffer Operator) and so on, which all have the universality and practicability. At the same time, we studied their some characters and inherent relation between them, and effectively resolves the questions, which often come forth in modeling forecasting of disturbed data sequence by shock wave and there are some contradictions between the quantity result and the qualitative analysis.
出处
《中国管理科学》
CSSCI
2004年第2期108-111,共4页
Chinese Journal of Management Science
基金
国家教育部博士点基金(20020287001)
江苏省自然科学基金重点项目(BK2003211)
南京航空航天大学特聘教授基金(1009-260812)
南京航空航天大学博士创新基金资助项目(019004)
关键词
缓冲算子
算术平均
几何平均
弱化算子
buffer operator
geometric average
weighted average
weakening operator.