分类的
- 与 分类的 相关的网络例句 [注:此内容来源于网络,仅供参考]
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To date, many mycologists study the taxonomic criteria at Alternaria species level by many means, but there are some confusion and divergent views.
许多研究者从很多方面研究了链格孢的种级分类标准,但是目前在多种分类方法所得到的结论,及这些方法在链格孢种级分类中的作用等方面存在一些争议和混乱,这些现象给链格孢的发展和交流,及应用研究带来了很大影响。
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People have proposed lots of feature extraction and classification algorithms and achieved great successful in the last few years, but there are also many disadvantages that restrict the applications to some extent. Rotation invariant and antinoise texture classification is a topic to be researched deeply.
近年来,人们提出了各种纹理分类算法,并取得了丰硕的成果,但是,目前大多数分类算法仍存在很多缺陷,在一定程度上制约了这些算法的应用,旋转不变和具有抗噪性的纹理分类更是有待深入研究的重要课题。
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The objective is to use SA as a tool to develop an accurate fuzzy classifier, effectively explore and exploit the large search space usually associated with classification problems, and find the optimum set of fuzzy if then rules.
论述了使用模拟退火元启发式搜索策略构造模糊分类系统的过程,目的是利用模拟退火原理研制一种精确的模糊分类器,改善与分类问题有关的搜索空间探索与发掘的性能,找到模糊if-then规则的优化集。
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New model utilizes grid computing technology,plans as a whole of network computing resources,combines with statistic classification advantage of support vector machine in finite sample space,probes into application of grid computation technology in image classification.
为了充分利用网格技术分布式、高性能、协同共享的能力,设计了一种基于网格和支持向量机的分布式图像分类器模型,采用网格计算技术,统筹网络运算资源,结合支持向量机在有限样本统计分类中的优势,探索网格技术在图像分类中的应用。
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On the basis of analyzing the classification principle of Bayesian classification model and a variant of Bayes theorem, a new classification model based on Bayes theorem, DLBAN (double-level Bayesian network augmented naive Bayes), which adds the dependence among attributes by selecting the key attributes, is proposed.
通过分析贝叶斯分类模型的分类原则以及贝叶斯定理的变异形式,提出了一种基于贝叶斯定理的新的分类模型DLBAN(double-level Bayesian network augmented naive Bayes)。该模型通过选择关键属性建立属性之间的依赖关系。
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By using such method, the coacervation of feature is improved, the limitation of classification method based on keywords is overcome, and dimensions disaster and precision respectively is reduced and improved.
这样许多相似度非常高的词语被转换成一个概念,而一个多义词在不同的语境下也会被映射到不同的概念,提高了特征词的凝聚度,克服了传统分类系统中基于关键词的分类方法缺陷,解决了维度灾难,提高了分类准确率。
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The defect of traditional classify approach is analyzed,the concept of fuzzy equivalent relations is given,the solution approach of fuzzy equivalent matrix is put forward,and the evaluation indexes system of emergency materials classification is built.On the basis of above discussing,the classify method of emergency materials based on fuzzy clustering analysis is developed.
分析了传统分类方法存在的问题,给出了模糊相似关系和模糊等价关系的概念和求模糊等价矩阵的方法,建立了应急物资分类指标体系,在此基础上提出了基于模糊聚类的应急物资分类方法。
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The systematic history of this genus was reviewed worldwidely based on the classical taxonomy,comparative anatomy of the rhizomes and foliage leaves.micromorphology of the foliage leaves,embryology,phytotaxonomy,as well as the informationabout molecular systematics in recent years.
本文从经典的形态分类、叶片表皮微形态特征、胚胎学研究资料、地下茎比较解剖构造、化学分类证据以及最新的分子系统学研究成果等多方面全面地回顾了世界刚竹属系统分类研究的历史。
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Based on the Udic Luvisols in the north subtropical region, this work studied the soil genus conception in the Chinese Soil Taxonomic Classifcation.
中国土壤系统分类经过十多年的研究,出版了《中国土壤系统分类》,这标S着对高级分类单元所做的工作已经取得了卓著的成就。
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Methods: 48 patients with Angle's Class II,division 2 malocclusion, 60 patients with Angle's Class II,division 1 malocclusion, as well as 15 patients with high-angle and 15 patients with low-angle facial skeletal type in Angle's Class II,division 1 malocclusion were separately compared with 50 patients with Angle's Class I who had normal profile by cephalometrics .
分别选取48例安氏II类2分类错患者、60例安氏II类1分类错患者以及各15例典型安氏II类1分类高低角骨面型患者为研究组,以选取的50例安氏I类正常面型患者为对照组。采用反映面骨关系的一般性测量项目与作者针对唇齿关系设计的测量项目进行比较分析。
- 推荐网络例句
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This one mode pays close attention to network credence foundation of the businessman very much.
这一模式非常关注商人的网络信用基础。
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Cell morphology of bacterial ghost of Pasteurella multocida was observed by scanning electron microscopy and inactivation ratio was estimated by CFU analysi.
扫描电镜观察多杀性巴氏杆菌细菌幽灵和菌落形成单位评价遗传灭活率。
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There is no differences of cell proliferation vitality between labeled and unlabeled NSCs.
双标记神经干细胞的增殖、分化活力与未标记神经干细胞相比无改变。