problem data的例句大全

This system solves the problem of the analysis and statistic of a large amount of sales history data.

通过本系统研究解决了大量销售历史数据统计分析的问题。

This method is computationally tractable and has a great application potential in many multi-sensor data fusion problem and signal processing.

该方法不需要被测参数的精确分布形式，该方法易于计算，并且在许多传感器融合问题和信号处理上有着潜在的应用。

It mainly solve two problems: One problem is communication mechanism at the server side and isomery distributer data synchronization.

主要解决两个方面的问题：服务器端消息通信机制问题和异构分布式数据同步问题。

There were problems instantiating { 0}. To resolve this problem, build the project, fix any errors, and preview the data again.

实例化{0}时出现问题。要解决此问题，请生成该项目并修复所有错误，然后重新预览数据。

The problem of discovering association rules consists of four elements: data set, the form of the rule, search algorithm, interestingness measure.

关联规则发现问题可以归纳为四个要素：数据集、规则形式、搜索方法、兴趣度量。它们分别对应机器学习问题中的数据空间、假设空间、算法、评价标准。

Geography Information System ( GIS) is the exact platform to give the answer of this problem, it provides the fastest, the most convenient, and accurate methods and schemes for tourism complex information management, multi-level data demonstration, and space data analysis.

地理信息系统（GIS）技术正是解决这个问题的技术平台，它为旅游业繁杂的数据管理、多层次的数据表达形式和空间数据分析提供了最快速、方便、准确的方法和手段。

The ever-expanding biological experimental data makes how to turn the data to knowledge a very challenging and interesting problem.

在生物试验数据积累迅速增加的今天，如何将数据变为知识是一项极富挑战性又十分有趣的事情。

Compound method can overcome the data sparse problem, generate the unlearned compounds from training sets and output corresponding descriptions for new scenes during test.

该算法可生成训练数据中未学习到的复合词，从而在评测时对新的视觉场景也可生成相应的语言描述，克服训练语料稀疏性。

In order to overcome the problem of data unavailability, it conducts an empirical panel-data analysis.

在实证检验过程中为了克服数据缺乏的问题，采用了面板数据模型进行实证分析。

SOLUTION OF EXPOSED TERMINAL PROBLEM IN SELF-ORGANIZED TDMA VHF DATALINK Research on Software Structure Design of Very High Frequency Data Link Mode 2 Protocol Stack

一种自组织时分多址甚高频数据链中的暴露终端问题的解决方案甚高频数据链模式二协议栈的软件框架设计研究

In the field of DDBS ( distributed database system), distributed data updating is a very important researchful problem, because data updating must fulfil integrality, coherence, reliability and stability of the database.

在分布式数据库领域，分布式数据更新是极其重要的研究课题，因为数据更新操作必须满足数据库的完整性、一致性、可靠性和稳定性要求。

The model was regressed from the data obtained by calculations as plane stress problem.

由按平面应力问题算出的数据回归出了计算抗挤强度的模型，用于套管强度校核。

With this method, the problem of decision rule matching new data samples is well solved by arranging the condition attributes in order of their importance and sorting prior to choose the decision rules.

这一方法通过对条件属性按其重要性排序和对决策规划进行归类优选，较好地解决了新数据样本的规划匹配问题。

The problem of dense storage media was solved by using a laser to read off data bits on an optical disc.

媒体的密集存储问题，是通过使用一束激光从光盘上读取数据位来解决的。

The improved algorithm based on the compression of vector data, can better reserve the characteristics of the graph, and solve the problem of storage and display the vector data in the mobile smart terminal devices with limited hardware condition.

在矢量数据得到压缩的基础上，更好的保留了图形的特征。

Data encrypting and data underwrite are key technique of solving the problem of network security.

数据加密和数字签名是解决网格安全问题的关键技术。

Aiming at the problem that how to get the prior distribution of strapdown inertial measurement unit ( SIMU) successive test data, the fusion of multiple prior information is discussed in the case of hetero-populations.

针对捷联惯性测量组合（捷联惯组）历次测试数据验前分布的获取问题，讨论了在异总体情况下，多种验前信息的融合问题。

The structural features of several data model of general digital terrain data have been compared, the dynamic partition and fast reading algorithm based on grid has been proposed, it has proved that this algorithm can solve the modeling problem of large scale 3D terrain.

◆对通用数字地形数据的几种数据模型的结构特点进行比较，提出基于栅格数据的动态分块及快速读取算法，实践证明该算法能够较好解决大规模三维地形的建模问题。

Proposed to solve this problem, the model setup and data collection, descriptive statistics.

提出了本文需要解决的问题、模型的设定和数据收集、描述性统计。

It has been an extraordinarily exigent problem how to extract valuable information from the complex spatial data.

如何从复杂的空间数据中提取有价值的信息已经成为一个非常迫切的问题。