Effect of airflow pre-dispersion on classification performance in a turbo air classifier;
通过实验，研究了不同操作参数 对分级机分级性能的影响。
The optimal subspace is used to extract feature of target for improving classification performance.
利用最优子空间能够提取到更优的特征，改善目标识别性能。
Using dependency relation to classify short texts lonely can not improve the classification performance;
单独把依存关系作为特征，不能提高短文本的分类性能；
This paper proposes a weighted C-SVM algorithm and analyzes its classification performance theoretically.
提出了一种加权C—SVM分类算法，并从理论上分析了算法的性能。
The classification performance of extracted features was tested by an index called correct classification rate.
以分类正确率为指标检验了提取特征的性能。
The experimental results show that short-text classification performance can be improved by using the hyponymy.
实验表明：利用上下位关系能够改善短文本的分类性能。
To improve its classification performance, the main methods were selecting the more effective distance measure.
为了提高最小距离分类器的分类性能，主要的改进方法是选择更有效的距离度量。
Experiment results showed the algorithm had fast convergence rate and excellent on-line classification performance.
结果表明，该算法有较快的收敛速度，网络的在线分类性能良好。
The algorithm accuracy rate and the recall rate can both reach 90%, which reflects a good classification performance.
该算法正确率、召回率等都能达到90%，体现了良好的分类性能。
The experimental results indicate that the PEBNC classifier can improve the classification performance in most cases.
实验结果表明，在大多数实验数据上，PEBNC能够明显提高贝叶斯分类器的分类准确率。
The result of the experiment on ORL face images indicates that the proposed method has good classification performance.
在ORL人脸库上的实验结果表明，该算法能够取得较好的分类效果。
The results of experiment demonstrate that the SVM decision tree built up by this method has a good classification performance.
实验结果表明，这种方法构造的SVM决策树分类器分类性能较好。
In classification, feature space heterogeneity is an important kind of data characteristics, and impacts significantly on the classification performance.
在分类问题中，特征变量异质性是一种重要的数据特性，对于分类方法的应用结果具有显著影响。
We can achieve better classification performance by the feature filters comparable to other traditional filter schemes while resulting in considerably smaller filters.
所提供的特征滤波器与传统的滤波器相比，可以有效挑选出数量更少、分类性能更优的纹理特征。
Compared with multivariate statistics and artificial neural networks, support vector machine based on structure risk minimization has better classification performance.
与统计分析和神经网络相比，基于结构风险最小的支持向量机有更好的分类性能。
The experiment shows that SVM processes better classification performance and spreading potential than RBF manual neural network under the small study sample condition.
实验表明，在小学习样本条件下SVM比RBF人工神经网络具有更好的分类性能和推广能力。
Experimental results on UCI data sets and dataset of brain glioma show that MIEE improves the classification performance and prediction ability on the imbalanced dataset.
在UCI数据集和大脑胶质瘤数据集上的实验结果表明新算法提高了分类器在不均衡数据集上的分类性能和预报能力。
The experiments on several pattern classification problems show that HS-LSSVM has high sparseness while holds good classification performance and its sparse process is fast.
支持向量回归机是一种解决回归问题的重要方法，其预测速度与支持向量的稀疏性成正比。
Naive Bayes algorithm is a simple and effective classification algorithm. However, its classification performance is affected by its conditional attribute independence assumption.
朴素贝叶斯算法是一种简单而高效的分类算法，但是它的条件独立性假设影响了其分类性能。
Aiming at improving the classification performance, a combination model of multiple classifier systems is presented, which takes the Sum rule and majority voting as its special cases.
为改进多分类器系统的性能，提出一个多分类器融合模型，该模型将和规则与多数投票作为特例纳入其体系中。
The k-nearest neighbour classification is a very popular and successful nonparametric classification method, but its classification performance usually suffers from the existing outliers.
近邻分类是一种流行且成功的非参数分类方法，但其分类性能由于离群点的存在而受到损害。
The experimental results indicate that the method improves classification performance with more compact representation when less time of training and testing is required than that of LSI.
实验表明当需要比LSI更少的训练和测试时间时，该方法能够以更为紧凑的表示方式提高分类性能。
The SVM method is based on seeking on the Structural Risk Minimization by few learning samples supporting, and it has important feature such as good generalization and classification performance, etc.
支持向量机方法基于小学习样本条件下，通过寻求结构风险最小，以期获得良好的分类效果和泛化能力。
Service policies are comprised of a set of classification rules, a performance goal, and an importance level.
服务策略由一组分类规则、一个性能目标和一个重要性级别构成。
The performance goal is usually something like an average response time goal for all requests that match the classification rules.
性能目标通常是诸如符合分类规则的所有请求的平均响应时间目标。
The effect of time delay unit number on classification precision and the performance of TDNN classifier using three typical aircraft dark room data measured with scale model were studied.
还利用三种飞机缩比模型的暗室测量数据，研究了时延神经网络分类器中时延单元数目对分类精度的影响以及分类器的分类性能。
We study the performance of LSC model on English and Chinese corpus respectively, analyze the LSC model's stability, and compare LSC model with some common classification models.
验证和分析了LSC模型的英文文本和中文文本的分类性能，研究了LSC模型的分类稳定性以及与其它多种分类模型的性能比较问题。
Classification, work principle and performance of various air compressor, choice principle of air compressor are introduced in the paper. And how to determine flux and pressure is discussed.
介绍了各种空压机的分类和工作原理及其性能特点和空压机的选用原则。并且讨论了如何确定空压机的流量和压力。
Classification, work principle and performance of various air compressor, choice principle of air compressor are introduced in the paper. And how to determine flux and pressure is discussed.
介绍了各种空压机的分类和工作原理及其性能特点和空压机的选用原则。并且讨论了如何确定空压机的流量和压力。
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