分类操作的英文

例句与用法

1. This paper provides a pattern recognition system of multichannel brain electrical signal . it trains offline , discriminates online , can distinguish several mental tasks such as complex multiply at rate above 70 %
   本文建立了一个多通道脑电信号识别系统,采用离线训练、在线识别的方式,可以对复杂乘法等心理作业脑电信号实现分类操作,成功率达到70 %以上。
2. Different from previous document clustering method based on nmf , our methods try to discover both the geometric and discriminating structures of the document space in an unsupervised manner , companied with high accuracy in acceptable computationally expensive
   与基于nmf算法的文本聚类不同,我们的算法力求以无监督的方式,在时间复杂度允许的范围内,找到更适合于分类操作的数据向量间的几何局部特征向量及相应的各文档的编码向量。
3. Moreover , for chinese banks and researchers , both the requisite technologies and experiences in this field are just in the beginning steps , yet somewhat lagged behind . the main purpose of this paper is to give a complete and systematic discussion on the theoretic basis , methods and formalities of the five - class system of credit assets , which is currently used in the people ' s bank of china , together with the introduction and comparison of other contemporary formalities of credit assets adopted by other commercial banks . then we give a deep and concrete analysis of the situation and problems in the current operation of the credit assets five - class system in the b city commercial bank in anhui province
   本文的主要目的就是针对目前中国人民银行正在推行的信贷资产五级分类的理论基础、方法及程序进行了较为全面和系统的论述,并对同时期国内外商业银行所采取的信贷资产分类模式做了相应的介绍和比较,进而具体剖析了现阶段安徽省b市商业银行在信贷资产五级分类操作中的具体步骤,同时,借鉴了贷款风险评估的相关理论和模型,对安徽省b市商业银行目前的贷款风险分类方法的现状和存在的问题进行了较为深入的、系统的分析。
4. To make classifying with rough set theory possible , the spatial predications relative to classification task and attributes in original attribute table must be filled to decision table firstly , and then classification with rough set theory is performed on the decision table : attribute discretization of decision table , attribute reduction and value reduction of decision table
   为了便于使用rough集理论对数据进行分类处理，首先将与分类任务相关的空间谓词和原有属性表中的属性作为决策表的属性加入到决策表中，然后对决策表使用rough集方法进行分类操作：决策表属性数据离散化、决策表属性约简和决策表值约简。