It is refer to normalization of data in building of spatial database of soil and water loss assessing.
在水土流失评价数据库的建立研究中，涉及到数据的标准化问题。
One key element to consider is what I call the normalization of data, which provides a single view of different types of data across a city's many domains.
其中一个关键因素就是我提到的规范化数据，它使用一个视图来描述城市主要区域的不同数据类型。
Normalization focuses only on the meaning of the data, without consideration given to the possible performance requirements of the applications accessing the data.
规范化只关注数据的意义，而没有考虑对于访问数据的应用程序的性能需求。
On the one hand, there is the internal organization of a's data — its normalization and denormalized optimizations, for example.
一方面，是A数据的内部组织——例如，其标准化和取消标准化优化。
The technique of data normalization is about correct ways of partitioning the data among tables to minimize data redundancy and maximize the speed of retrieval.
数据正规化技术是为将数据正确地保存再各个标准，从而使数据冗余达到最小，存取速度达到最高。
The goal in normalization -- to condense the first through fifth "form" of normalization -- is to remove all redundancy in the way data is stored.
标准化的目的 --用第五“范式”来压缩第一范式 --就是除去数据存储方法中的所有冗余。
Normalization decisions are finalized in the logical data model resulting in the final normalized representation of entity-to-entity relationships as well as supertype-to-subtype hierarchies.
规范化决定在逻辑数据模型中得以完成，并导致实体-实体关系与超类型-子类型层次关系的最终规范化表示。
Most relational data design books have pages upon pages of discussion on proper normalization of names and how to avoid design traps with names.
多数关系数据设计书籍都花费相当的篇幅讨论如何正确地规范化姓名和避免姓名带来的陷阱。
Normalization is the formal process of analyzing the data entities needed for an application, and then converting them into a set of well-designed structures.
规范化是分析应用程序所需的数据实体，然后将这些数据实体转化成一组设计良好的结构的一个格式化的过程。
In relational database design, the process of organizing data to minimize redundancy is called normalization.
在关系型数据库设计中，这种组织数据以减少冗余的过程，被称为规范化。
The logic framework structured design is consisted of theory analysis of function dependency, relation normalization, transformation from E-R model to relation model and data model normalization.
逻辑结构设计包括函数依赖和关系规范化的理论分析、E - R模型向关系模型的转换和数据模式规范化。
On the basis of the error model, the paper also analyzes the application of data normalization algorithm to estimating fundamental matrix.
针对所建立的误差模型，分析数据规范化算法在基础矩阵估计中的应用。
Based on this model both zero and gain drifts of the input channel can be corrected and its nonlinearity can be offset. Furthermore, the data normalization can also be done.
借此模型，克服零点漂移及增益漂移对检测精度的影响，补偿信号输入通道的非线性，实现了数据的规范化处理。
Adopted the data processing method of the normalization, choose the training sample of the neural network, the mathematical model of the consumer price index based on BP nerve network predicts set up.
采用归一化数据处理方法，选择神经网络的训练样本，建立基于BP神经网络的居民消费价格指数预测的数学模型。
A reasonable normalization method is made certain by the normalization principle and the data of construction. This method increases the learning efficiency and the rate of convergence of the network.
针对施工数据，根据数据归一化的原则，确定了一个比较合理的归一化方法，提高了网络学习的效率和网络收敛的速度。
Three important conceptions-function dependence, normalization and dissolution of data scheme-are analysed. Their directive action for design of relational data model is pointed out as well.
避开复杂繁琐的数学推导，分析了关系数据库理论中的函数依赖，数据模式的规范化及其分解这三个重要概念，指出了它们对关系数据模型设计的指导作用。
Research and realizaion of data structure and database design of commerce information processing system is disscused, take warehouse for example, based on normalization theory of data structure.
以数据结构规范化理论为基础，以数据仓库为例，讨论了商务信息处理系统数据结构和数据库结构的合理设计。
The practical and feasible method was proposed in condition of the sampling in environment and special cases to assure sampling normalization and data authority.
对环境和特殊情况下的采样，并提出了现实的和可行的方法，保证了采样的规范性和数据的权威性。
In the methods of normalization consideration must be given to logic analysis, mathematical statistics and data digging.
规范方法应兼顾逻辑分析、数理统计和数据挖掘等。
Three major principles for the selection of indicator data normalization methods in multi-attribute evaluation are presented in this paper.
提出学术期刊综合评价中指标数据标准化方法选择的三大原则，即同一指标内部数据相对差距不变原则；
Normality of monthly and seasonal precipitation is discussed based on the data of 35 stations. Some method of precipitation normalization are compared.
本文讨论了我国35个测站的月、季降水量以及按区域平均降水量的正态性问题。同时，研究比较了各种降水量正态化的方法和效果。
Then, the processes of computing the vector values of POI objects are discussed by the methods of questionnaire survey, multi-density spatial clustering and data normalization respectively.
然后，分别讨论了利用问卷调查、多密度空间聚类和数据规格化的方法计算POI对象的各项显著性指标值的过程；
Then, the processes of computing the vector values of POI objects are discussed by the methods of questionnaire survey, multi-density spatial clustering and data normalization respectively.
然后，分别讨论了利用问卷调查、多密度空间聚类和数据规格化的方法计算POI对象的各项显著性指标值的过程；
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