Study on buffer operators with variable weights and their effect strength to original sequence

Traditonal buffer operators can not realize fine tuning of effect intensity,which leads to problems that the effectiveness of buffer action may be too strong or too weak.Considering this situation,this paper respectively constructs weakening buffer operators with variable weights and strengthen ones,and defines the relationship between the regulation degree of buffer operator and their variable weights.Furthermore,we make further discussion on the optimization of this kind of buffer operators by means of genetic algorithm.The results show that variable weights are similar to higher-order effect operator in function,while the flexibility of them in the aspect of strength controlling of buffer operator are much better than that of higher-order buffer operators.Finally,taking the forecasting problem of China energy consumption amount as an example,the effectiveness and the superiority of the buffer operators with variable weights are validated.