篇名 | A Class of Weakening Buffer Operators for Reducing the Class Ratio Dispersion |
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卷期 | 1:1 |
作者 | Dan Zeng 、 Yong Wei |
頁次 | 077-086 |
關鍵字 | Weakening buffer operator 、 Function transformation 、 the class ration dispersion 、 Inverse transformation |
出刊日期 | 201904 |
Compared with the function transformation, the superiority of the buffer operator is that it does not need inverse transformation, so a new weakening buffer operator is proposed in this paper. First, the appropriate function transformation is used to reduce class ratio dispersion , and the necessary paving is made for the buffer operator . Then the translation constant is determined based on the value of the last term of the sequence, so that the sequence transformation satisfies the fixed point axiom of the buffer operator, then a weakening buffer sequence is obtained. Thus effectively avoiding the limitation of function transformation reduction and enlarging the accuracy of modeling. Thus effectively avoiding the limitation that the function transformation may enlarge relative error during the inverse transformation process, and improving the modeling accuracy.