n. smoothness
The primary research content and results are obtained as followes:1. The smooth degree of modeling data series is one of the important factors that impact forecasting precision of grey model.
本文在平移变换和伸缩变换的基础上提出了含参线性函数变换改进的灰色预测模型,证明了含参线性函数变换能提高建模数据序列的光滑度,给出了数值算例,并分析了改进模型的拟合精度和预测效果。
参考来源 - 灰色预测模型的改进及其应用Estimation of skin smoothness is of ever-increasing interest especially in the field of cosmetic research nowadays.
如今，评价皮肤表面的光滑度越来越受到人们的重视，尤其是在化妆品研究领域。
参考来源 - 基于立体视觉的皮肤表面检测技术的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
它的拟合精度与建模数据序列的光滑度有关。
Its fitting precision is related to the smooth degree of modeling data sequence.
对香波和浴液的泡沫、洗净力、皮肤光滑度等功能进行了评价。
The functions on foam, detergency and skin smooth of shampoo and bath lotions were evaluated.
激活“跟随”和“倾斜”选项，设置倾斜大小为2，设置光滑度为1。
Activate Follow and Bank, set the Bank Amount to 2, and the Smoothness to 1.
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