摘要
利用灰色系统理论,在对缓冲算子和已有弱化缓冲算子研究的基础上,构造一类新的弱化缓冲算子,并研究其一些特性及内在关系,有效解决了冲击扰动数据序列在建模预测过程中经常出现的定量预测结果与定性分析结论不符的问题.实例分析结果表明,这类新的弱化缓冲算子能显著提高数据预测模型的预测精度.
By using grey system theories, based on the present theories of buffer operators and some already existed weakening buffer operators, some new weakening buffer operators are established, which have the universality and practicability. Meanwhile, the characters and the inherent relation among them are studied. The problem of some contradictions between quantitative analysis and qualitative analysis existing in pretreatment for vibration data sequences is resolved effectively. An example shows that the kind of new weakening buffer operators increase the forecast precision of data forecast model remarkably.
出处
《控制与决策》
EI
CSCD
北大核心
2008年第7期741-744,750,共5页
Control and Decision
基金
国家自然科学基金项目(70473037)
江苏省软科学重点项目(BK2006025)
关键词
算子
弱化缓冲算子
算术平均弱化算子
Operator
Weakening buffer operator
Arithmetic average weakening operator
