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   规则提取 在 建筑科学与工程 分类中 的翻译结果: 查询用时:0.011秒
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规则提取
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  “规则提取”译为未确定词的双语例句
    Fuzzy modeling of structural vibration and generating of fuzzy control rule
    结构振动的模糊建模与模糊控制规则提取
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    Generating expansive soil classification rule based on rough sets for information incomplete system
    基于粗糙集信息不完备系统的膨胀土分类规则提取
短句来源
    Generating expansive soil classification rule based on rough sets for inconsistent decision system
    基于粗集不相容系统的膨胀土分类规则提取
短句来源
    The contents that studied include the systemic structure of USMD, the models of basic spatial computation, urban spatial distribution DM, urban spatial dynamic DM, urban spatial association rule mining and urban cluster spatial data mining etc. The author brings forward collectivity frame structure and some new mining methods, improves on the some present methods of SDM, carries out a large of practical experiments, preliminarily builds up a experimental system of USDM.
    研究内容包括城市空间数据挖掘体系、空间基础计算模型、城市空间分布(静态)数据挖掘、城市空间动态预测、城市空间与时序关联规则提取、城市群数据挖掘等方面,提出了一个总体框架体系和若干新的挖掘方法,改进了一些已有的空间数据挖掘方法,进行了大量应用实验研究,初步建立了一个城市空间数据挖掘实验系统。
短句来源
    On the aspect of urban spatial association knowledge mining: To static association rule, according to rough set theory the author summarizes two distilling methods of spatial association rule based on reductive data and division of equivalence.
    在城市空间关联知识挖掘方面:对静态关联规则,根据粗糙集理论归纳出了基于数据约减和等价类划分的两种空间关联规则提取方法;
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  generating rule
In a static method, mesh points are redistributed at fixed time levels according to a mesh generating rule.
      
The latest version is C5.0, which is more efficient and accurate than C4.5 for generating rule sets.
      


Generating expansive soil classification is difficult for incomplete test data when different test indexes are collected.Data mining by rough sets for an incomplete system can applied to generate expansive soil classification rule.The conditional probability calculated by Bayes method is presented that the reliability of expansive soil classifying decision system is the priori probability and the support degree of expansive soil test data is posterior probability.Those rules should be preserved whose conditional...

Generating expansive soil classification is difficult for incomplete test data when different test indexes are collected.Data mining by rough sets for an incomplete system can applied to generate expansive soil classification rule.The conditional probability calculated by Bayes method is presented that the reliability of expansive soil classifying decision system is the priori probability and the support degree of expansive soil test data is posterior probability.Those rules should be preserved whose conditional probability is bigger than a given threshold value.The rule of expansive soil classification is generated by logic conjunction and disjunction to the preserved rules.The example and application analysis indicate that generating expansive soil classification rule based on rough sets for incomplete decision system is easy to program by computer and has high value in practice.

在膨胀土试验中存在大量相互缺损的试验数据,不利于膨胀土分类规则的提取。基于粗糙集信息不完备系统的决策挖掘可以提取膨胀土分类规则。提出了用膨胀土分类决策系统的可信度作为先验概率,用膨胀土试验数据的支持度作为后验概率,引入贝叶斯方法计算条件概率,然后提取条件概率大于某一阈值的规则,最后通过逻辑合取与析取归并膨胀土分类规则。实例及应用分析表明,基于粗糙集不完备系统的膨胀土分类规则提取概念明确,过程简单,易于编制计算机程序,具有明显的理论意义和使用价值。

Expansive soil classification is an inconsistent system based on rough sets after analyzing its roughness.To avoid rule distortion resulting from routine methods,expansive soil classification rule was generated by utilizing the Bayes theory and data mining based on rough sets for inconsistent decision system.The reliability of expansive soil classification decision system was regarded as the priori probability,and the support degree of expansive soil data from experiment was regarded as posterior probability,and...

Expansive soil classification is an inconsistent system based on rough sets after analyzing its roughness.To avoid rule distortion resulting from routine methods,expansive soil classification rule was generated by utilizing the Bayes theory and data mining based on rough sets for inconsistent decision system.The reliability of expansive soil classification decision system was regarded as the priori probability,and the support degree of expansive soil data from experiment was regarded as posterior probability,and then the conditional probability was calculated.The rules were preserved that conditional probability was bigger than a given threshold value.The rule of expansive soil classification was generated through logic conjunction and disjunction to all of the preserved rules.The results show that the method not only perfects data mining based on rough sets for inconsistent decision system,but also provides an efficient and feasible algorithm to classify expansive soil.

分析膨胀土分类的粗糙性,指出膨胀土分类是一个基于粗糙集的信息不相容决策系统。针对常规方法容易引起规则失真的不足,提出将贝叶斯理论和不相容系统决策挖掘相结合来提取膨胀土分类规则:以膨胀土分类决策系统的可信度为先验概率,膨胀土试验数据的支持度为后验概率,计算膨胀土分类规则的条件概率;提取条件概率大于某一阈值的规则;通过逻辑合取与析取归并膨胀土分类规则。实例计算和应用分析结果表明:采用贝叶斯理论和基于粗糙集的不相容系统决策挖掘相结合的方法有利于基于粗糙集的不相容系统的数据挖掘,而且为膨胀土分类规则的提取提供了一种切实可行的算法。

 
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