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- A method of target classification based on JEM periodic signature is proposed. 提出了基于JEM周期特征的目标分类方法。
- A system of classification based on the phylogenetic relationships and evolutionary history of groups of organisms. 生物分类学，进化枝学一种分类体系，其基于种系发生的关系和有机体群体的进化历史
- Design a novel hydrocyclone for the control classification based on the require of Bayer process pipe slurry preparation in alumina refinery. 根据氧化铝厂拜耳法矿浆制备的要求,设计了一种新型旋流器用作控制分级设备。
- Chemotaxonomy: Method of biological classification based on similarities in the structure of certain compounds among the organisms being classified. 化学分类学:根据生物体的某些化学物质结构的相似性来进行分类的方法。
- After specifying the appropriate threshold value of classification based on the dendrogram, all genotypes could be clustered into some different sets. 根据树型图，确定合理的分类水平，将群体分成若干不同的类群。
- As the shortcomings of these methods exist, a new airborne LIDAR footprint points classification based on twice return pulse heights is investigated. 然后提出利用两次回波信号的高程数据来实现对机载LIDAR数据的分类。
- Classification of English stylistic devices is now a bit confusing.In teaching practice, we recommend classification based on operated fields. 目前英语辞格分类比较混乱,建议在教学实践中采用基于辞格操作场的分类法。
- The paper compares the performance of classification based on distance of simple vectors with those based on SVM on the TREC data sets. 本文在TREC的测评语料上，使用简单向量距离分类法与SVM进行比较，同时讨论了使用命名实体识别的预处理对不同算法的影响。
- This paper applies BP Neural Network to classification based on feature extraction and with a linear perceptron for recognition of individual characters. 本文在特征抽取的基础上，采用BP网络进行分类，并附加线性感知器来实现单字的有效识别。
- Support vector machine (SVM) is a technique of classification based on the structural risk minimization principle, and a regression method with fine ability of generalization. 摘要支持向量机(SVM)是一种基于结构风险最小化原理的分类技术，也是一种具有很好泛化性能的回归分析方法。
- Moreover, this thesis compares FCA with clustering analysis, and analyzes the similarities and differences of classification based on concept lattice and decision tree. 另外，本文在相关章节对形式概念分析和聚类分析进行比较以及分析总结了基于概念格的分类和决策树分类法的异同。
- Methods Sixty patients with obesity-associated oligomenorrhea were treated with combined ear and body acupuncture according to classification based on symdrome differentiation. 方法将63例肥胖病并发月经过少患者依据辨证分型采用耳体针结合施治,观察针灸治疗前后患者的症状、体征、激素水平变化。
- The advantages of introducing case classification based medical quality in DRGs payment system were presented.It could give some reference of exploring medical insurance in China. 在此基础上,阐述了引入病例分型质量费用管理模式的优势,为探索医保付费方式提供参考。
- The experiment shows the method for audio classification based on 1-state HMM could decrease the misrecognition effectively and increase the accuracy of audio classification. 实验结果表明基于单状态的HMM模型音频分类方法能有效地减少误识率，提高音频分类的精确度。
- Based on the analysis of some existing methods of SVM multi2class classification, a multi2class classification based on Huffman binary tree was put forward. 在分析常见多故障分类器的基础上，提出了基于故障优先级和核函数的聚合技术，利用这个方法生成一个基于最优二叉树的多故障分类器。
- The experiment result shows this concept mapping method and the text classification based on concept can distinctively improve text classification precision. 实验结果表明，基于类别核心词的概念映射方法及相应的基于概念的文本分类能够有效提高文本分类的精度。
- A comparative study of sheng niu si deng and the classification of 36 letters in SPE feature system reveals that sheng niu si deng is a mature classification based on the feature-differentiation theory. 通过声纽四等和SPE特征系统对三十六字母在发音方法分类方面的对比研究，可以看出声纽四等是较为成熟的、根据区别特征原理所作的分类。
- First above all, this thesis divides the network into three factors:Data, Relation and Ability. Furthermore, grounded on the model the thesis provides a classification based on DRA. 本文首先将网络抽象成为数据(Data)，关系(Relation)，能力(Ability)三个基本要素，然后，在此基础上提出了一种基于DRA的入侵分类方案。
- Because coefficients match Laplacian distribution after classification based on their acitivity prediction, a context based classification and adaptive quantizer(CBCAQ) is used to them. 由于小波分解后的系数经活动性预测分类后具有拉普拉斯分布的性质 ;因此可对其采用预测分类的自适应量化方法进行编码 .
- To overcome the shortcoming of single Kohonen network and BP network for data mining,a method for data classification based on combined neural network is put forward. The basic idea and algorithm description of this method are given. 为了克服单一Kohonen网络和BP网络用于数据挖掘的缺点;提出了一种基于Kohonen和BP组合神经网络的数据分类方法;并给出了该分类方法的基本思想和算法描述.
