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The main functions are inquiry、countingarea and plotting cartogram. The classification result is input in this system firstly andvector is created. The vector is operated, such as counting its area, then area and cartogramis obtained. Moreover, we can analyze area and cartogram by means of quantitativeanalysis.

该子系统首先将分类后的图像导入本子系统,进行矢量化,然后对矢量后的图形进行面积统计等操作,得到统计面积及统计图,并采用定量分析的方法对得出的面积值及统计图进行分析。

One of the classification models that based on statistic theory is Bayesian network classifier.

目前已知的分类算法中一种重要的基于统计方法的模型是贝叶斯分类模型,在贝叶斯分类模型中实用性最高和应用最广泛的是朴素贝叶斯分类器。

The popular methods of remote sensing image classification have been generally analyzed and summarized. And the main methods are classification based on statistic, neural network classification, fuzzy classification, decision tree classification, expert system classification. Finally, the characters of each method have been summarized.

现综合分析了目前主要的遥感图像分类方法,将遥感图像分类方法归纳为:基于传统统计分析的分类方法、神经网络分类方法、模糊分类方法、决策树分类方法、专家系统分类方法,并对各种方法的应用情况进行了综述,并总结出各种分类方法应用特点。

When outcome variable is measured in the dichotomous form, the descriptive indices are often indicated for frequencies, percentages or proportions, correspondingly, the statistical inference methods are mainly χ2 test or the two-variable relationship analysis.

分组变量和结局变量均为二分类变量的研究在医学研究中是比较常见的,结局变量表示为二分类的形式,研究者通常采用频数、百分比或比例等统计指标描述,相应的统计推断方法主要为χ2检验或两变量之间的关联性分析。

By using statistical tools, mainly both parametric and non-parametric hypothesis test, we try to answer some basic questions on the application flow classification methods, and further, try to convince the necessity and rationality of the network layer statistical flow classification approaches.

在第三章中,我们从真实网络的流量特性分析着手,从流量迹的采集生成、流量迹统计数据的总体分析和对不同应用协议数据流的统计特性分析等几个方面,结合对应用流分类方法的一些基本问题的回答,采用数理统计的有关工具,分析和论证了统计流分类方法的必要性和合理性。

Content characteristics of five kinds of detrimental elements,As,Cr,Cd,Pb,S,in iron ores imported from 23 countries,totally 490 batches,within recent two years were investigated by statistical techniques.Based on data distribution, interquantile robust statistics,and a brand-new data description technique,kernel density estimation,were used to acquire the standing values of detrimental elements.Multivariate statistical methods,including Principle Component Analysis and Factor Analysis,were used to ...

对我国进口铁矿石中的环境有害元素As、Cr、Cd、Pb、S的含量进行了总体统计分析,选用了四分位稳健统计分析及内核密度估计分别对铁矿中的有害元素As、Cr、Cd、Pb、S的含量的代表值进行估计,探讨了两种方法在代表值估计方面的特点,并使用主成分分析、因子分析等多元统计分析方法对有害元素的含量特征进行整体分类描述,确定了含量特征整体分类的主要有害元素,全面了解进口铁矿中涉及安全、环保等有害元素的质量状况。

This paper expatiated the characters about different kinds of Remote Sensing data and application ranges ,then analysed synthetically current primary image classification methods.On this base, the paper summarized routine statistic methods, artificial intelligence classificational methods , basing on factual condition to classify and else new methods,etc.Land use/cover ; remote sensing

本文阐述了不同类型遥感资料的性质及应用范围,并在综合分析研究当前主要的遥感图像分类方法基础上,对常规的统计分类方法、人工智能分类方法、针对实际情况的分类方法及其它较新的分类方法进行了综述。

Relationship between DNA content and evolutionary degree DNA contents of bivalves were analyzed statistically with SPSS software at subclass, order, family and species grade respectively. Significant difference was detected between mean values of two subclasses according to the result of T-test. The DNA content of Heterodonta (3.77pg) was distinctly larger than that of Pteriomorphia (3.14pg). It was concluded based on ANOVA that the general trend of DNA content was to change from lower to higher values associated with evolution at higher taxonomical classification, i.e.

核DNA含量与进化地位的关系运用SPSS统计软件,在亚纲、目、科以及种4个分类等级上对双壳贝类的核DNA含量进行了统计分析。T检验结果显示,两亚纲核DNA含量的平均值有明显差异,异齿亚纲的核DNA含量平均值(3.77pg)显著大于翼形亚纲(3.14pg),该结果表明,核DNA含量在较高的分类等级,即亚纲上表现出随着进化地位的升高显著增大的趋势。

As feature extraction acts an important role in pattern recognition system, we propose three novel feature extraction methods for HCCR: a、Two structural feature extraction methods, Stroke Cross Counting Features and Peripheral Features are studied. According to the characteristics of Chinese handwriting samples, we extend the SCCF and PF respectively to weighted elastic SCCF and weighted elastic PF. Experiments show that the modified feature extraction approaches are better than original approaches. b、A new statistical feature extraction method——Elastic Meshing Directional Decomposition Feature extraction is proposed. According to the stroke statistical properties of Chinese character, we first decompose a handwritten character pattern into four directional subpatterns. Then a set of elastic meshes are applied to each of the four subpatterns respectively to extract the pixel distribution features.

统计识别方法:利用统计模式识别的经典方法——Bayes分类方法来进行汉字识别的研究,特征提取是统计模式识别的关键,本文着重围绕手写体汉字的特征分析和提取方法进行了研究,提出了三种特征提取的新方法: a、两种改进的结构特征提取方法:在笔划密度特征和外围特征的基础上,结合手写体汉字的特点,提出了加权非均匀笔划密度特征、加权非均匀外围特征的特征提取新方案; b、一种新的统计特征提取方法——弹性网格方向分解特征,根据汉字方块字的特点及笔划分布的统计特征,对手写体汉字进行横竖撇捺四方向的分解,并利用一系列的弹性网格对汉字分解后各分量的象素进行统计而提取特征,实验证明该特征提取方法用来进行手写体汉字识别是十分可行和有效的。

In this paper, we propose a new approach to spoken Chinese understanding which combines statistical and rule-based methods. In this approach, the semantic classification trees which are built by the semantic rules automatically learned from the training data are used to disambiguate key words related to the sentences' shallow semantic meaning, and then, a statistical model is used to extract the whole sentence's domain action.

本文面向口语自动翻译提出了一种统计和规则相结合的汉语口语理解方法,该方法利用统计方法从训练语料中自动获取语义规则,生成语义分类树,然后利用语义分类树对待解析的汉语句子中与句子浅层语义密切相关的词语进行解析,最后再利用统计理解模型对各个词语的解析结果进行组合,从而获得整个句子的浅层语义领域行为。

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