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分级法
分级评价法
1、beckett grading───贝克特评分
2、grading system───分级XiTong；学校评分方式；评分制度；分级XiTong; 学校评分方式; 评分制度
3、grading───n.分阶段；定等级；坡度缓和；v.定等级；减缓坡度（grade的现在分词形式）
4、grading plan───坡度断面图
5、grading chart───评分表
6、grading scales───[地质]分级标准；年级量表
7、grading scheme───评分方案
8、grading methods───分级方法
9、method───n.方法；条理；类函数
1、Discussing the Grading Method in Cutting Exploding Stones and Its Application Principle───试论岩石切割爆破分级法及其应用原则
2、A grading method of mangosteen by size and color was proposed based on computer vision.───提出了一种基于计算机视觉技术的山竹大小和颜色分级方法。
3、same result was obtained with the fussy grading method.───用模糊评分法检验，也得出同样结果。
4、Aim: To explore the morphometric grading method in the diagnosis of astrocytoma.───目的：探讨星形细胞瘤形态定量病理分级诊断方法。
5、Optimization of the Extraction Technology for Huaqitongmai Granules with the Multiple Guidelines Grading Method───多指标综合评分法优化花芪通脉颗粒的提取工艺
6、Methods A comprehensive assessment method, integration of analogy and quantitative grading method, was applied.───方法采用类比法和定量分级法相结合的原则进行综合评价。
7、Application of quantization grading method in quality inspection of hydraulic projects───以量化评分方法开展水利工程质量检查
8、In Search of a Direct Grading Method Suiting Quality Education───探索适合素质教育的直接等级分制法
9、Objective To study guidance role of Revised trauma index (RTI) in emergency remedy and its value grading method.───目的探讨修正创伤指数(rti)在急诊救治中的指导作用以及rti评分的界定。
1、Aim : To explore the morphometric grading method in the diagnosis of astrocytoma.
2、Combining grading method with chaotic optimization, the neural network model achieves rapid training and avoids local minimum when there are a lot of samples to be trained.
3、Aimed at solving the problem that currently grading of plant diseases are mainly based on eyeballing, the paper developed a new disease grading method based on computer image processing.
4、In order to implement grading quickly, accurately and automatically, a color grading method based on perceptually uniform color space is put forward according to human vision system characteristics.
5、According to Bayes theorem, a new method can be got in data diagnosis - grading method.