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中文摘要：
针对传统缓冲算子不能根据实际问题的需要实现其作用强度的微调,从而导致缓冲算子的作用效果不理想的问题,构造了基于序列平均增长率的新型弱化变权缓冲算子。研究该弱化变权缓冲算子的作用强度与变权系数之间的关系,证明了该变权缓冲算子能够提高序列的光滑性,并基于灰色关联分析与粒子群算法给出了变权系数的智能寻优方法。最后以江苏省民用汽车数量预测问题为例,检验了该弱化变权缓冲算子的有效性。
英文摘要：
Traditional buffer operator can not realize fine tuning of effect intensity according to the need of practical problems,which leads to problem that the result effectiveness of buffer operator result is not satisfactory.Considering this situation,this paper constructs weakening buffer operators with variable weight based on the average growth rate,and defines the relationship between the regulation degree of buffer operator and their variable weights.This paper shows that the variable weights buffer operator can improve the smoothness of sequence.Furthermore,we make further discussion on the optimization of this kind of buffer operator by means of grey relational analysis and particle swarm optimization.Finally,taking the forecasting problem of the number of civilian cars in Jiangsu Province for example,the effectiveness of the buffer operators with variable weights are validated.
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