预分类的英文

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"预分类"怎么读用"预分类"造句

英文翻译手机版

presort

"预分鸦预分类" 英文翻译 : pre-sorting
"预分" 英文翻译 : presort
"预分解" 英文翻译 : predecomposition; predissociation
"预分离" 英文翻译 : predissociation
"预分馏" 英文翻译 : prefrationation
"预分配" 英文翻译 : allotting; prealloctication; prearranged assignment; preassignment; pressignment
"预分频" 英文翻译 : gptmtnpr; prescale
"预分散" 英文翻译 : predispersing
"预分析" 英文翻译 : pre analysis; preanalysis
"预分选" 英文翻译 : pre-sorting
"带预分频器" 英文翻译 : separate prescale
"可预分频" 英文翻译 : prescale
"时间预分配" 英文翻译 : time prearranged assignment
"纤维预分散" 英文翻译 : fiber predispersing; fibre predispersing
"预分级机" 英文翻译 : pre grader
"预分离器" 英文翻译 : preseparator
"预分馏塔" 英文翻译 : prefractionator; prefractonator; preliminary fractionator
"预分配多址" 英文翻译 : prea igned multiple acce （pma）; preassigned multiple access
"预分配系统" 英文翻译 : preasignment system
"预分频比" 英文翻译 : prescale ratio
"预分频器" 英文翻译 : brp
"噪声预分配" 英文翻译 : noise budget
"分类" 英文翻译 : 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
"感觉的预分化" 英文翻译 : sensory predifferentiation
"预分多址卫星系统" 英文翻译 : preassigned multiple access satellite system
"预分多址联接卫星系统" 英文翻译 : preassigned multiple access satellite system

例句与用法

The approach to classification based on the equivalence classes of the main attribute is as follows : ( 1 ) discretize the continuous training data
以某属性的等价类(相近类)组成的子集作为svm的训练集预分类的方法如下。 ( 1 )将连续性训练数据离散化。
Firstly , we introduce the basic theory and methods for realization of sofm . subsequently we improve the arithmetic and implement the feature extraction of raw data using k - l translation , select the eigenvector . combining c - avarage and isodata arithmetic , classify the eigenvector , according to the methods of this dissertation , in lower layer , set nerve cell and unite or delete nerve cells in middle layer , to improve the anti - huise - and robust
论文首先介绍了sofm的基本原理和实现方法，接着在其基础上对具体算法进行改进，用k - l变换对原始数据进行特征提取，选取出特征变量，结合c -均值和isodata算法对特征变量进行预分类，按照本文中介绍的方法在底层预置神经元，在中间层对神经原进行合并和删除，加强了该网络的抗干扰性和稳定性。
Taking the real - time recognition request into consideration , a bi - layer ahmm model ( bl - ahmm ) is introduced . bl - ahmm can reduce the recognition space by pre - categorization , which improves the speed and accuracy of recognition . like the other grads descend algorithms , the problem of local optima is also existed in the training of hmm
为了进一步提高识别速度，满足联机识别中实时性的要求，本文在ahmm的基础上同时提出了一种双层自适应识别模型（ bl - ahmm ），通过预分类来减小识别空间，提高了系统识别速度并同时提高了识别率。
As a currency learning techniques introduced recent years , svms which handle small sample size problem have the features of good generalization ability , solid theoretical background , high accuracy , and getting global optimization . ho vever , it is a classifier for two - class originally and not suite for the multi - class problems and dealing with large data sets . on the other hand , , rst has the features of handling and reducing large data sets while has lower classification accuracy than svms . in this paper , the data are classified in advance with the rst , and two methods of combination of the data to classify two - class problems are proposed
但它是二值分类器，不适用于多值分类场合及处理海量数据。粗集理论则具有处理和约简大数据量的优势，但分类精度不如svm方法。本文利用粗集理论对数据进行预分类，在此基础上提出两种二值分类数据组合方法，然后，再利用svm两两分类。
Then one against one classification is performed with svms . so the muti - class problem can be solved , the accuracy of classification guaranteed , and the reduction of the data carried out . in particular , the approach to classification based on the equivalence classes of the main attribute is explicit conceptually , easy to understand and implement . furthermore , the reduction of the sample size is distinct
这样，既解决了多值分类问题，提高了分类精度，又实现了数据压缩。其中利用主属性中不可分辨关系(或相近关系)预分类的方法，概念清晰，易于理解、操作，数据压缩量大。