The library gives programmers a common data model covering all raster data formats and -- through OGR -- vector data formats.
该库为编程人员提供了通用的数据模型，包括所有栅格数据格式和矢量数据格式（通过OGR）。
There are two major choices of data model: raster and vector.
有两种主要的数据模型可选择：栅格和矢量。
The simple data structure of vector model is introduced using the ORACLE SPATIAL as an example.
在该部分，以ORACLESPATIAL为例，讨论了矢量数据模型的简单数据结构；
A support vector regression method based on classification is presented to solve the nonlinear regression problem with unknown data distribution and mathematical model.
提出了一种基于分类技术的支持向量回归方法，解决数据分布未知、数学模型未知的非线性回归问题。
A progressive representation model for street networks of vector data was presented based on the theory of plane Euclidean graph and abstract complex cell.
基于平面欧几里得图和抽象胞腔复形理论，提出了街道网矢量数据的渐进式表达模型。
A new predication method of customer credit of Banks is proposed based on the support vector domain classification model of non-balance data set.
基于非平衡数据集的支持向量域分类模型，提出了一种银行客户个人信用预测方法。
This paper analyzes the current situation of vector electronic map and investigates the realization of vector electronic map with object-oriented data model and structure.
分析了矢量电子地图的现状，对采用面向对象的数据模型和数据结构实现矢量电子地图进行了研究。
This model function is applied to NSCAT data to retrieve wind vectors, with the Maximum-Likelihood Estimator to get a set of ambiguous wind vectors and a vector filter technique to remove ambiguities.
利用该模式函数对另一组NSCAT后向散射系数数据进行海面风场反演，采用最大似然估计确定多个风矢量解，并采用矢量中值滤波消除多解。
On the basis of the experimental data of microstructure and strength for gray cast iron with high carbon equivalent, a model of support vector machine for gray cast iron prediction was established.
利用高碳当量灰铸铁组织强度试验数据，提出了一种基于支持向量机理论的灰铸铁强度预测模型。
After some experiments and programming done, an adaptable and completable vector data structure model based on PDA is reached.
通过实验研究与编程实现，得出了一种在掌上电脑上具有较好的完备性和适应性的矢量数据组织模型。
The support vector approach learns a parsimonious regression model from the given data to avoid the data over-fitting problem.
支持矢量回归方法可以在给定的资料中生成一个简洁的回归模式，以避免常规机器学习法中的资料过度学习问题。
Introduce a data structure of Two-dimensional Vector Workload to ensure Site-depth-first Searching Model and the time control of sites processing with weighted values.
提出二维矢量工作队列数据结构，保证站点深度优先搜索以及权值对站点处理时间的影响。
The approach of using vector data to make map, which is based on the above model, can quickly acquire the vector geographic information with publishable efficiency.
基于该矢量一体化全局模型的矢量数字成图方法，可快速获取具有出版效能的矢量地理信息。
Then, the whitened dimension-reduced data vector as a single user model is looked, the Iterative Least Squares (ILS) detection and Minimum Mean Square Error (MMSE) detection are researched.
将白化滤波后的降维数据矢量看作是单用户的系统，研究了迭代最小二乘(ils)检测和最小均方误差(MMSE)检测。
In this model, the high frequency capacitive PT/CT model and the multi-terminal network model for grounding system are included using rational functions by means of vector fit-ting based on test data.
在这个整体模型中，用有理函数建立了用于计算容性传导耦合的PT/CT的高频模型和用于计算阻性传导耦合的多端口地网模型。这些模型是基于实测数据采用矢量匹配法建立的。
The experiments showed that the model can work efficiently and practically, and keep the topological insistency of the vector spatial data.
实验表明，该模型不仅可行，而且高效，并保持了空间要素和要素之间的几何拓扑一致性。
The results showed that the visualization and transmission efficiency of large vector data could achieve great improvement with the proposed model and searching algorithms.
实验结果表明，在基本不影响可视化效果的前提下，该矢量数据多尺度模型能极大地提高海量矢量数据的可视化与传输的效率。
Kernel Methods are concerned with mapping input data into a higher dimensional vector space where some classification or regression problems are easier to model.
核函数方法关心的是怎样把输入数据映射到一个高维度的矢量空间，在这个空间中，某些分类或者回归问题可以较容易地解决。
Kernel Methods are concerned with mapping input data into a higher dimensional vector space where some classification or regression problems are easier to model.
核函数方法关心的是如何把输入数据映射到一个高维度的矢量空间，在这个空间中，某些分类或者回归问题可以较容易地解决。
The support vector machine based on statistical learning theory is applied to establish a time series model for simulating the monitoring data of dam seepage flow.
大坝渗流监测分析是大坝安全监控的重要内容，预测分析的难点之一在于渗流监测数据往往具有复杂的非线性特点。
The support vector machine based on statistical learning theory is applied to establish a time series model for simulating the monitoring data of dam seepage flow.
大坝渗流监测分析是大坝安全监控的重要内容，预测分析的难点之一在于渗流监测数据往往具有复杂的非线性特点。
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