variable precision造句
例句与造句
- sql server does not support variable precision decimals
sqlserver不支持可变精度小数。 - variable precision rough set model based on general relations
一般关系下的变精度粗糙集模型 - method of machinery fault diagnosis based on variable precision rough set
基于变精度粗糙集的机械故障诊断方法 - variable precision decimals
可变精度小数 - variable precision decimals
可变精度小数 - It's difficult to find variable precision in a sentence. 用variable precision造句挺难的
- diagnostic knowledge extraction based on variable precision rough-fuzzy sets integration model
模糊集模型的诊断知识获取 - in this chapter, we bring forward a variable precision rough set model
在不完备信息系统下的粗糙集理论扩充方面，本文提出了一种变精度粗糙集模型。 - then a retraction less variable precision gap setting method was put forward based on the characteristic of plate gap setting
基于此特性，提出中厚板电液联合辊缝设定新方法无回缩变精度快速辊缝设定法。 - this dissertation mainly presents two new classification methods : the k-nn classification method based on a evidence reasoning model and the k-nn classification method based on variable precision rough set model
本文主要提出了两种新的分类方法：基于证据推理模型的k-nn分类方法及基于可变j精度粗集模型的k-nn分类方法。 - the more general graded approximations and variable precision approximations are defined in approximate space . the relationship between them is researched, and the important formula of conversion is achieved
在近似空间中定义了更一般的程度近似和变精度近似，研究了两者各自的性质和相互关系，得到了程度近似与精度近似相互转化的重要公式。 - in this paper, we propose a novel approach using sentential frequent itemset, a concept comes from association rule mining, for text classification, which views a sentence rather than a document as a transaction, and uses a variable precision rough set based method to evaluate each sentential frequent itemset s contribution to the classification
为了解决这一问题，参考目前的数据挖掘领域的工作，提出了一个文档数据库模型，即将每一篇文档映射为一个文档数据库，文档中的每个句子看作数据库中的一个交易，每一个词看作一个项目。 - because of the shortcomings of the classical rough sets model such as the sensitive to noise often encountered in many real-world applications, the dissertation presents a variable precision and md relation rough sets model from the perspective of rough membership function and micro-difference . not only can the vp-md model overcome the shortcomings of the classical model, but also is consistent with the statistics . this model can extend the application scopes of rough sets and enhance its adaptability
本文从对象的不可分辨关系出发，讨论了信息系统的经典粗糙集模型，并针对经典粗糙集模型存在的对噪音敏感等缺陷，提出了基于隶属度和微差距离的可变精度微差关系(vp-md)模型，该模型不仅能够处理含有噪音的不完全信息系统，其结果也能反映大量数据所满足的统计规律，使粗糙集理论的应用范围更广、适应性更强。 - the latter classification method combined variable precision rough set model with k-nn classification method, so we can control the classification accuracy rate by the most endurable given error classification rate, then we can make the classification result conform to what we expect, and also some examples are given
后一种分类方法是将可变精度粗集模型与k-nn分类结合起来，从而可通过给定最大容忍的错误分类率来控制分类的准确度，使分类结果达到所期望的目的。并且给出了一些例子。 - in what follows, it introduces the variable precision rough sets model and its application in enterprise management actuality analysis, and the probability rough sets model and its application in production sort, and the imperfection information system rough sets model and its application in production sale respectively . for the enormous data and noise disturbance when mine data from large database or data warehouse, only using the rough sets in data mining would decrease the classification precision, and only using the neural network in data mining would make the structure of neural network complex and the training overtime, finally, this paper introduces the flow of data mining method and the marketing structure based on rough neural network . then based on this, the combination of rough sets and neural network is applied into marketing product sale field
针对目前在对企业的大型数据库或数据仓库进行数据挖掘时，输入信息不仅数据量大，而且存在噪声干扰，在数据挖掘中单纯的使用粗集方法会受噪声干扰而直接影响分类精度，单纯使用神经网络会因输入信息空间维数较大使网络结构复杂且训练时间长的问题，本论文最后将粗糙集理论与神经网络相结合，首先介绍了基于粗神经网络的数据挖掘方法在营销中的应用流程，接着介绍了基于粗神经网络数据挖掘的市场营销系统框架，最后将粗糙集理论与神经网络相结合应用于市场营销的产品销售预测领域，进行销售预测。 - among these rough set models, non-parameter variable precision rough set model ( nvprs ), appeared to the improvement of variable precision rough set model ( vprs ) but really not, has been presented only for several years . this model, avoiding the choice of parameter, usually difficultly determined or not necessary used, could form the separated theory framework
在这些模型之中,非参数式可变精度粗糙集模型是这几年才提出来的,虽然它看似是可变精度粗糙集模型变型,但是却有自身的特点,避开了参数的选择的问题,而且自身可以形成一套适合自己的理论体系。
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