1) Rms roughness
均方根粗糙度
2) the RMS surface roughness
表面粗糙度均方根RMS
4) Weighted mean roughness
加权平均粗糙度
1.
This paper introduces the connotations of the decision tree algorithm and the method for constructing of the decision tree algorithm,improves the decision tree algorithm constructed by using the weighted mean roughness,and illustrates the advantages of the improvement algorithm with the example.
介绍了决策树算法的含义和构筑方法,对基于加权平均粗糙度构造决策树算法进行改进,通过实例说明了改进算法的优势。
2.
We presented weighted mean roughness, a new concept based on rough sets theory which is regarded as the criteria for choosing attributes.
基于粗糙集的理论提出了加权平均粗糙度的概念 ,将其作为选择分离属性的标准。
3.
In the process of constructing a decision tree, weighted mean roughness, a new concept based on rough set theory which is regarded as the criteria for choosing attributes is applied.
在构造决策树的过程中,基于粗集的理论运用了加权平均粗糙度的概念,并将其作为选择分离属性的标准。
5) equivalent uniform roughness
等效均匀粗糙度
6) roughness average R_a
平均粗糙度R_α
补充资料：均方根
Image:11509551240358113.jpg
均方根
均方根 有时也称方均根。英语写为:root mean square（rms）.
将n个项的平方和处以n后开平方的结果，即方均根的结果。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。