precision attribute

英 [prɪˈsɪʒn əˈtrɪbjuːt] 美 [prɪˈsɪʒn əˈtrɪbjuːt]

网络  精度标志

计算机



双语例句

  1. Strategy for Mining of Rough Approximation Precision Data Based on Fuzzy Attribute Set
    基于模糊属性集的粗糙近似精度数据挖掘策略
  2. At the same time, to make sure of the consistency and integrality of the knowledge base, the paper designs a rule detection and precision algorithm, and simplifies the rule tables based on the attribute reduction;
    同时,本文设计了规则检测与求精算法,在属性约简的基础上,进一步对规则表进行简化,保证了知识库的一致性和完整性;
  3. To improve the precision of target attribute identification, a tracking aided target identification method based on evidence theory is advanced in this paper.
    为提高目标属性识别精度,本文以证据理论为基础,提出一种跟踪辅助目标识别方法。
  4. This paper continues the research into the variable precision rough set model based on set pair analysis. By introducing some concepts such as significance operator of attributes and approximate reduction, a new algorithm for attribute reduction is proposed.
    论文是继续文献[8]的工作,在变精度集对粗糙集模型的基础上,定义了变精度的重要性算子和变精度的近似约简等概念,并由此给出了一种属性约简的启发式算法。
  5. Ensuring graphical precision mathematically, rationalizing the topological structure and correcting attribute link in data capture and in the establishment of space database with attribute are emphatically discussed.
    着重讨论在图形数据采集及建立空间属性数据库时,如何保证图形的数学精度,如何使拓扑结构合理,以及如何使属性联接正确。
  6. Variable precision rough set model combined with genetic algorithm is applied to reduce the number of fault attribute on the condition that the diagnosing precision is almost not changed, and the redundancy of antecedent of rules is eliminated to acquire more concise rules.
    将基于可变精度粗糙集模型应用于故障诊断,同时与遗传算法相结合,在保证诊断精度大致不变的情况下对故障征兆属性化简,消除诊断规则判断条件的冗余,获取精简的规则。
  7. The automatic check algorithms for system quality indexes are discussed in detail, such as the maps junction, the lines intersect, plane position precision, attribute accuracy and so on, and a method on automatic batch quality check of maps junction problem is introduced. 4.
    详细探讨了DLG部分质量指标自动检查的方法,如图幅接边、平面位置精度、线线相交、属性精度等,提出了一种自动批量检查图幅接边质量问题的方法。
  8. The proposed algorithm solved the problem of low efficiency and inferior precision that calculating the similarity only depended on the attribute value and did not consider semantic and attribute type influence in the traditional recommendation algorithm.
    对于传统商品购物推荐系统的相似性只单独计算属性值的算法,而不考虑语义和属性类型的影响,效率低,精度差。