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The test results of 20 blood samples detected on different hematological analyzers were analyzed by a q test which indicated that there were no statistical differences between blocks(P>0.05). The correlative coefficient was over 0.97 and the relative deviation was within the range of allowable error.

白细胞分类中,中性粒细胞和淋巴细胞在各比对仪器之间以及仪器与手工分类之间的相关性较好,而嗜酸粒细胞、嗜碱粒细胞和单核细胞,不论在各仪器还是仪器与手工分类之间,都存在较大的试验误差(P<0.05,P<0.01)。

There are different opinions of the taxonomy on the subfamily, tribe, genus and species of Umbelliferae because the taxonomic system of Umbelliferae is based on the typical umbrella anthotaxy and its fruit with specific secretory tube.

但是由于伞形科的分类系统是建立在典型的伞形花序和带有特殊分泌管的果实的基础之上的,使得分类学者在亚科、族、属和种的设立和分类方面存在分歧,实验主要针对阿魏属和独活属的花粉形状进行研究,对阿魏属和独活属植物的分类提供一些基础数据。

There are different opinions of the taxonomy on the subfamily, tribe, genus and species of Umbelliferae because the taxonomic system of Umbelliferae is based on the typical umbrella anthotaxy and its fruit with specific secretory tube. The pollen morphology is carefully observed in this test in order to provide several basic data for the taxa of Ferula and Heracleum.

但是由于伞形科的分类系统是建立在典型的伞形花序和带有特殊分泌管的果实的基础之上的,使得分类学者在亚科、族、属和种的设立和分类方面存在分歧,实验主要针对阿魏属和独活属的花粉形状进行研究,对阿魏属和独活属植物的分类提供一些基础数据。

For the purpose of classification, the fractal scales and the fractal dimensions along horizontal, vertical and diagonal directions are obtained to form a feature set with six parameters. The probabilistic neural network is used as the texture classifier. Results have shown satisfied classification of natural textures.

文中利用纹理图像在水平、垂直和对角3个方向上的分形尺度和分形维数作为特征集,采用概率神经网络作为分类器进行自然纹理图像分类,得到准确的分类结果。

In order to provide more information for the further taxonomic studies on Sterculiaceae, three problems are carefully analyzed here, which are (1) the taxonomic position and systematic relations of the family,(2) the taxonomic position and relationships of some genera in this family, and (3) the application of some new taxonomic characteristics to the classification of the family.

本文从梧桐科的分类地位和系统关系﹑属的分类地位和亲缘关系以及分类学新特征在梧桐科分类中的应用三个方面入手,分析了梧桐科分类学研究的历史﹑现状和存在的问题,特别是把来自分子资料的研究结果与传统分类进行了比较分析,试图为梧桐科的分类学研究提供更多的帮助。

In this project we use microscopic and submicroscopic technology to research the sperm morphology and its ultrastructure of Leptobrachiinae, discuss the characters and taxonomics of spermatozoa and its utilization on the taxology, relatedness, phylogeny of Leptobrachiinae. this study will provide the new cues for the presented problems about the taxology and phylogeny in this field. Likewise,ultrastrucure of sperm are also disscussed.

本项目采用显微和亚显微技术,对拟髭蟾亚科各属代表种精子的形态结构进行系统地研究,分析各属物种精子的形态结构特征,比较它们的异同,探讨该亚科精子的分类;探讨精子形态分类与该亚科物种的分类和系统进化的关系,为解决一些分类和进化问题提供精子学证据;并对重要种类精子的超微结构进行研究。

The taxonomic system is very different from the one used widespreadly by foreign scholars.

但此分类系统与国外所用的分类系统差别较大,争论的焦点在于斑腿蝗科、剑角蝗科、斑翅蝗科、网翅蝗科和槌角蝗科5个科的分类地位及其相互关系,因此我们从分子水平上探讨这5科的系统发育关系,为完善蝗总科分类系统提供一些必要的证据。

A cataloged classification of books consists of general works and specific works, and the traditional practice of classifying books into specific classes and special classes should be given up. Edition study classifies editions into written editions, which are reclassified into hand-written, copied, and photo-offset manuscripts, and printed editions, which are re-divided into carved, typed, lithographic and block-printed editions. All these will be re-reclassified according to time region, subject and craftsmanship.

摘 要:&文献&内涵有古今之分,不宜模糊;文献学的研究对象是&文献的文本&而不是我们通常所说的&文献&;&分类&与&编目&是目录学两大基本内容,不宜混而不清;目录学中的书目分类应分为综合性书目、专门性书目两大类,不宜再继续所谓专科目录、特种目录等旧的分类方法;版本学中的版本分类宜分为写本与印本两大类,其下写本再分为稿本、抄本、影写本,印本再分为刻本、活字本、石印本,刻本之下再根据时间、地区、主体、工艺等划分类别,这样方可层次清楚、泾渭分明。

In the traditional AdaBoost method,the weights are updated based on the weak classifier's overall error rate, this article proposes one kind of the method which unifies the level of difference between the threshold and the feature value of the weak classifier with the weak classifier's overall error rate. Compared to the method which only based on the overall classification error rate to update the weights,this method can achieve higher detection rate while reduces the mistaken-detection rate.

在传统AdaBoost方法中,权重是根据弱分类器的整体错误率来更新的,本文提出了一种将弱分类器的阈值与特征值相差程度和弱分类器的整体错误率相结合来更新样本权重的方法,相比较只根据整体分类错误率来进行权重更新的方法,这种方法可以在降低误检率的同时达到较高的检测率。

The main purpose of this paper is to propose a unsupervised clustering-based method to pre-extract the support vector for training the SVM in light of the theory that the classification facet of SVM is determined by support vector only. By analyzing the limitation existed in current multi-class classification methods, and taking into account comprehensively the separability of the class set of nodes, a hierarchical classification method of SVM binary tree based on tree classifier with optimized overall performance is designed.

针对SVM的分类面仅由支持向量决定的理论,提出一种基于无监督聚类方法来预抽取支持向量,训练向量机;并分析现有多类分类方法所存在的弊端,基于综合考虑节点的类集合可分性,设计一种基于树分类器整体性能最优的SVM二叉树层次分类方法。

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