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It is concluded that, first, geochemical data of the surface soils can clearly distinguish two kind of soils, that is, juvenile soils, for example, purple soils, which inherits most geochemical characteristics of the parent rocks or materials, and anthropic soils, the geochemical characteristics of which have been greatly changed as the results of intensive impact from variety of agricultural uses. Second, different soils have typical indicator elements association respectively due to different parent rocks or materials and utilization, such as purple soils, yellow soils (low alkali and alkaline-earth metal contents and pH value), paddy soils (high organic element and heavy metal elements contents) and fluvo-aquic soils (high rock-forming accessory mineral elements contents) and so on. Consequently, it can be suggested that elements association is an important indicator for two key factors (parent materials and anthropic activities) of soil classification. Third, some differences exist between soil genesic classification and result of cluster analysis, because geochemical characteristics of surface soils can not completely represent the foundation applying to soil genesic classification, that is, condition and process of soil-forming, and soil property.

结果表明:浅层土壤的地球化学数据能较好地用来区分两类土壤,即紫色土一类的幼年土壤(在很大程度上继承了母岩、母质的地球化学特征)和受强烈人为活动水耕、早耕熟化的土壤(外来物质的不断加人显著地改变了浅层土壤原有的地球化学性质);(2)各类土壤因母岩母质和利用方式不同,各具明显的标志性元素组合特征,如紫色土、黄壤(低碱和碱土金属元素和pH值)、水稻土(高有机元素、肥料元素和重金属元素)和潮土等,因此,这些元素组合是土壤分类两个要素的重要参照系;(3)浅层土壤的地球化学特征不可能完整地体现成土条件、成土过程和土壤属性这三个发生分类依据,因此,聚类分析结果与发生类型之间存在一定的差异。

Being completely new methods , Rough Classifiers , Neutral Classifiers , and analysis of Extension Information have provided non-classical set analytic methods , and have filled the gap of traditional mathematic analytic methods .

特别提出了粗糙分类方法、软分类方法、发散性方法和蕴含性方法等崭新的数据挖掘方法,为建立动态的分析型信息系统提供了基于非经典集合的分析方法,弥补了经典数学分析方法的不足。

This method was applied to the dimensionality reduction of multidimensional time series via projection pursuit technique for fuzzy clustering. According to the results of the classification and the extraction of fuzzy rules through best value projection, three types of fuzzy membership function were generated using trapezoid distribution method. Then the sample's credit level was determined according to the fuzzy approximability in computation.

该方法利用投影寻踪技术对多维时间序列数据进行降维处理并进行模糊分类;根据分类结果和最佳投影值提取模糊规则,采用梯形分布法生成三个模糊隶属函数;最后根据计算模糊贴近度确定样本的信用级别。

A text classification system based on improved classification model presented in this paper was used to realize automatic text classification.

通过在同一数据集上进行对比实验﹐说明本文提出的改进分类模型的文本分类系统是正确可行的。

Firstly , using the conditional independence test built the Bayesian network structure , and desensitizes remote sensing data of study area . Secondly , applying Bayesian network theorem as classification principle classifies every single pixel to a pixel of maximum probability sort .

采用贝叶斯网络分类对具有典型干旱特征的库车县土壤盐渍化情况进行监测,首先应用条件独立性测试原理建立贝叶斯网络结构,把研究区遥感数据进行离散化,然后应用贝叶斯定理作为分类原则,将每个像元分为像元最大概率的类别。

Decision tree is one of the most important data classification techniques.

决策树分类是一种重要的数据分类技术。

A new fusing facial feature recognition algorithm based on kernel Canonical Correlation Analysis was proposed,for mapping image data into feature space and improving classifying accuracy.

为了更有效地映射图像数据样本到可分类特征空间,提高分类正确率,提出了一种新的基于核函数的典型相关分析的融合人脸识别算法。

This study is to give a solution for the estimation of flash point for mixtures, the necessity for classification of flammable liquids. The traditional models for predicting flash point of mixtures usually by the activity coefficient approach. However, the parameters of activity coefficient were regressed from phase equilibrium data in the literatures. If there is no such parameter in literatures for the desired mixture, the model cannot predict the flash point oft hat mixture. Thus, this research aims at the improvement of deficiency of the flash point prediction models in the literatures by useing UNIFAC (Universal Quasi-chemical Functional Group Activity Coefficient) equation, Dortmund-UNIFAC equation and Lyngby-UNIFAC equation. In this study, we were aim at the prediction model for miscible mixtures.From the result, it is suggested to use different type of UNIFAC equation to estimast activivity coefficient in the predition of flash point for different mixture type.

易燃液体分类的主要依据参数为闪火点值,因此本研究目的为解决易燃液体中混合物分类时所面临到的闪火点值缺乏的问题,而在过去文献中所提出的闪火点预测模式会使用到活性系数,但这些模式使用到的活性系数均需要相平衡的数据以回归其所需参数,若所欲估算闪火点的混合溶液文献上未有相关参数,则无法有效利用闪火点预测模式估算其闪火点,因此针对文献中现有闪火点预测模式的缺点,利用描述液体混合物活性系数UNIFAC (Universal Quasi-chemical Functional Group Activity Coefficient)方程式、Dortmund-UNIFAC方程式和 Lyngby-UNIFAC方程式,建立发展一闪火点预测模式,而本研究以互溶溶液为对象。

This invention discloses an intelligent layout method for household furniture including the following steps: 1, obtaining data and carrying out analysis and sorting, 2, storing data in a database according to the sorts, 3, picking up necessary data from the database and generating a virtual pattern of bedrooms and furniture models, 4, displaying the generated virtual pattern on the user terminal, the user daggles and puts positions of the virtual furniture, 5, playing up the effect to the determined household layout to get the effect picture.

本发明公开了一种家居智能布局方法,应用计算机处理技术,包括下列步骤:1获取数据并进行分析和分类;2按照类别将数据存储在数据库中;3从数据库中提取所需的数据,生成居室和家具模型的虚拟图形;4将生成的虚拟图形显示在用户终端;用户在显示窗口拖曳、摆放虚拟家具的位置;5对确定的家居布局进行效果渲染而获得家居布局效果图。

Startup process timing analysis of liquid bipropellant pressure-fed propulsion system;2. Implementation of Parallel Extending Memory Based on Timing for AT89C2051;3. Combining with the timing of strip elements spraying status calculation and setup values outputting in on-line feed-forward control,the timing of calculation and outpu.

结合国内某1450mm热轧带钢厂层流冷却系统的改造,介绍了过程级数学模型子系统的组成,主要包括进程的划分及激活逻辑、共享数据区的分类及数据流程,并结合实际在线前馈控制过程中样本集管组态计算和下发的时序,以及自适应后计算时序及自适应系数的数据流程,说明了数学模型子系统构成机制的合理性和运行结果的有效性。

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在对危险的南部地区访问时,他斥责什叶派民兵领导人对中央集权的挑衅行为。

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