The classifier proposed in this thesis is based on rbf network , which is widely used in the data classification 、 pattern recognition and many other fields Rbf网络广泛用于数据分类、模式识别和其他许多领域,本文所提出的分类器正是以径向基函数网络为基础的。
Rough set theory is applied in spatial data classification , and during classification spatial and non - spatial data are processed by rough set theory simultaneously 本文将rough集理论应用在空间数据分类中，在分类时使用rough集理论同时处理空间和非空间数据。
This paper discusses the relevant problems of applying the method of concept - based attribute - oriented to find classification rule , also expounds the implemented data classifier 本文论述了运用基于概念的面向属性归纳方法来发现分类规则的有关问题以及数据分类器的实现。
In the module of 3d visualization , the flow of volume rendering is given : pretreatment of volume data - > data sorting - > illumination procession - > volume rendering 对于三维可视化模块，详细阐述了其实现流程：体数据预处理数据分类光照模型、明暗处理各种剖分方式绘制图象。
This method was applied to the classification of 16 groups of data , and results show the feasibility and effectiveness of the kernel clustering algorithm 以16组实际数据为例，将该方法应用于数据分类研究中，聚类结果表明了该方法的可行性和有效性，从而为数据分类提供了一种新的可行方法。
At last the further aims are provide base on test ' s conclusion . this model is potential to resolve nonlinear separability problems ; especially it adapts to classify high - dimmension data 代数超曲面神经网络模型在解决非线性问题上有很大的潜力，尤其对高维非线性数据分类有独特优势。
We propose the ann model for special application - - molecular dynamics numerical value simulation , especially aim at classifying , clustering and pattern cognition for scientific dataset 提出了面向特殊应用? ?分子动力学数据模拟的神经网络模型,特别是研究针对科学数据分类、聚类和模式提取问题的神经网络应用。
This system is a kind of management information system essentially , so the author started with the data management and emphasized on data classifying and data processing 三维输电网地理信息系统本质上属于信息系统范畴，所以作者首先从系统的数据信息管理入手，着重研究了系统中各种数据分类及其相应的处理方法。
Fire classification of construction products and building elements - classification using data from fire resistance tests on products and elements used in building service installations : fire resisting ducts and fire dampers 施工产品和建筑部件燃烧性能分类.根据由建筑设施中使用产品和部件的耐火性试验数据分类:耐火管道和火焰阻燃器
Though double parallel feedforward neural networks ( dpfnn ) has been successfully used to classify the multispectral images , the generalization performance of dpfnn has not been studied until now 双并联前向神经网络（ doubleparallelfeedfo 。 rdneuralnetworks一dpfnn ）已成功应用于多光谱数据分类，对其推广性的研究具有十分重要的意义。
