英语翻译从表1可以看出,对于确定性的数据,建模时采用远近相同原则和厚近薄远的原则优选出的A值是一样的;而对非确定性的数据

英语翻译
从表1可以看出,对于确定性的数据,建模时采用远近相同原则和厚近薄远的原则优选出的A值是一样的;而对非确定性的数据,总体上看二种原则优选出的平滑系数不一样的.对非确定性的数据,当B时,采用远近相同原则和厚近薄远的原则优选出的平滑系数值是一样的;当C时,二种原则优选出的平滑系数有差别,从D开始差别较明显,E愈小,差别愈大.
5201314dd 1年前 已收到4个回答 举报

jimmy186 幼苗

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It is drawn rom Figure 1 that,as for datum with certainty,A values optimumly-sought (out) are the same by between principles of "weighing more on the closer one than the further” and "equality between the closer one and the further" respctively when modeling; while as for datum with uncertainty,smoothing coefficients/factors(推荐前者) optimumly-sought are different optimumly-sought by between the two principles above on the whole.As for datum with uncertainty,when B,smoothing coefficients are the same by between the two principles,whereas those are different optimumly-sought by them when C and,differences show more significant from D.Moreover,the smaller E is,the larger the differences appear.
供参

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杨音恬 幼苗

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这样From table 1 can see, for certainty of data, modeling the same principles and thick far and near BoYuan principle is used to make A value is the same; And for the uncertain data, on the whole two pr...

1年前

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猫猫爱笔畅 幼苗

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哈哈

1年前

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kongfanting 幼苗

共回答了31个问题 举报

From table 1 can see, for certainty of data, modeling the same principles and thick far and near BoYuan principle is used to make A value is the same; And for the uncertain data, on the whole two prin...

1年前

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