分类类别的英文

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英文翻译
造句

class category

分类 classify
类别 classification; category; ge ...
分类类 classification
成分类别 constituent class
林分类别 forest type
种类，类别，分类 sort
分类别的比率 specific rate
分类上的, 类别的 classificatory
类类型 class types
按广泛经济类别分类 classification by broad economic
类别 classification; category; genre; family; tier 属于不同的类别 belong to different categories; 土壤的类别 classification of soil; 同一类别 belong to the same category; 类别电压 category voltage; 类别功耗 category dissipation; 类别名 class name
数值类类型 scalar type
社会科学类类 social science
地名分类与类别代码编制规则 rules for classification of geographical names and code representation
附加符号和用颜色来分类的类别对话拾荒者 attach icons and colors to categories using the category picker dialog
需要对象或类类型 object or class type required
分类 1.(使分别归类) classify; itemize; sort 根据起因将事故分类 classify accidents by cause; 根据性别[年龄; 民族; 地区] 分类 classify by sex [age; nationality; locality]; 邮局里的人员将信件按寄送地点分类。 men in the post office classify mail according to places it is to go. 它们是按品种分类的。 they are classified in sorts.2.(分门别类) classification; assortment; systematization; partition; sorting; taxonomy; breakdown 粗略的分类 a broad classification; 使分类系统化 systematize classification; 植物的分类 classification of plants
lcd类别 lcd type
mhc类别 mhc class
父类别 parent class
类别；族群 class
类别词 classifier
类别的 classificatory
类别库 class library
类别名 class name

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例句与用法

Classification of premium membership services offered
会员分类类别
Therefore , it is a puzzle to study the classification model , increase the class number and improve the detection ratio according to the classic classification algorithms
因此，不管是分类模型的建立，还是分类类别数目的扩展和分类率的提高，难度都相当大。
Since the size of metadata is less than that of full text and the number of papers classified in a subclass is less than that of total number of papers , the new model enhances the efficiency of paper classification when the number of classes is bigger and the documents are distributed averagely in the given taxonomy
因元数据的尺寸远远小于论文全文的尺寸，而粗分类后每类的论文数要远远小于全体论文数，故在分类类别数目较多且分类文本分布较为平均的情况下，可极大地缩短分类的时间。
In algorithms , classification algorithms are divided into two cases : one for known statistical distribution model and the other for unknown statistical distribution model . four classification algorithms , the bata - prime statistic model fusing quadratic gamma classifier , based on sar image rcs reconstruction and space position mode , on the mixed double hint layers rbfn ( mdhrbfn ) model and on the self - adapt fuzzy rbfn ( afrbfn ) model , are derived . the problems , including how to further improving the class ratio of the bayes decision , decreasing the dependence on the statistical model and directly providing the adapted algorithm with samples , are solved
提出了基于径向基函数神经网络( rbfn )的双隐层混合网络( mdhrbfn )模型，解决了标准神经网络在具体sar图像地物分类中分类类别数目不够和分类精度差的问题；提出了基于模糊推理系统的自适应模糊rbfn分类( afrbfn )模型，兼顾通用性与精确性，增强人机交互能力，进一步提高了算法分类率。