• The classification accuracy of experiment EEG signals reach 89%.

    对真实脑电数据的分类正确率达到89%。

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  • The experiment testifies that the system has a good classification accuracy and efficiency.

    实验表明,该系统具有较好的分类精度与效率。

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  • Improving classification accuracy is always the focus for remote sensing image classification.

    提高遥感图像分类精度一直是受到普遍关注的焦点问题。

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  • The classification accuracy of the desert shrubbery land as the major study object reached 88.

    其中主要研究对象荒漠灌木林地的分类精度为88。

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  • The classification accuracy was 89.6% for the training sample and 88.9% for the verifying sample.

    训练样本的判别准确性为89.6%,校验样本的判别准确性为88.9%。

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  • The results prove that TAN classifier has perfect classification capability and higher classification accuracy.

    实验结果表明TAN分类器具有较好的分类性能和较高的分类精度。

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  • The off-line analysis results show that this method has got good classification accuracy for the test data set.

    离线分析结果表明,该方法对测试数据取得了很好的分类准确率。

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  • The experimental results show that the algorithm is of faster classification speed and higher classification accuracy.

    实验结果表明,该算法具有较快的分类速度和较高的分类精度。

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  • The experiment based on UCI data sets proves the algorithm can obtain a faster training rate and higher classification accuracy.

    随后的基于UCI数据集的实验结果表明,该算法获得较快的训练速率和较高的分类精度。

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  • The results show that the feature extraction method using SVM based on dependency relations can get high classification accuracy.

    提出依存关系规则与统计方法相结合,实现了基于依存关系与支持向量机的问题分类机制。

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  • The experiment shows the fraud detection system can efficiently detect new user's fraud type and has high classification accuracy.

    实验结果表明,该系统能有效地检测出新客户的欺诈行为类型,具有很高的分类准确率。

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  • Methods: the decision tree classifier is used as a tool and the rate of classification accuracy is used to measure the consistency.

    方法:以决策树分类器为工具,用分类正确率衡量辨证一致性。

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  • Compared with the single suppo vector machine method, the support vector machine ensemble method has better classification accuracy.

    模拟实验结果表明,该方法具有明显优于单一支持向量机的更高的分类准确率。

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  • The land use classification accuracy is usually unsatisfactory in the complicated terrain area when the traditional methods are used.

    在地形复杂地区,采用传统的遥感分类方法进行土地利用遥感分类很难获得理想的精度。

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  • Experiments show that the average classification accuracy rate can be above 90% for either LSB replacement or matching steganography.

    实验表明,分别对LSB替换、匹配隐写进行分析,平均分类正确率可以达到90%以上。

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  • This paper discusses the correlation between the number of cut points, granular entropy and classification accuracy in discretization.

    研究离散化方案中断点数、粒度熵与分类精度之间的关系,证明了粒度熵随着断点数的增加而下降。

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  • In order to improve the classification accuracy of hyperspectral images, a fuzzy maximum likelihood classification method is proposed.

    为了提高超谱图像分类的精度,提出了模糊最大似然分类算法。

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  • To improve remotely sensed imagery classification accuracy is one of the main topics in the field of remote sensing application research.

    提高计算机遥感影像的分类精度,是遥感应用中研究的主要问题之一。

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  • In this paper the methods and experiments for applying the digital terrain model(DTM) to improve the classification accuracy are introduced.

    本文着重介绍在遥感影象分类中应用数字地面模型(DTM)改正地物反射光谱中地形影响的方法和试验。

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  • Speckle in SAR images will disturb classification accuracy. Vector filter of speckle is used to dual-frequency images before classification.

    SAR图像的相干斑会影响图像的分类准确度和精度,在进行分类处理前,对双波段全极化SAR图像相干斑进行矢量滤波处理。

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  • The thesis also examines the rough set model based on classification accuracy. The MIE-RS data mining approach given later is based on the model.

    另外,作者提出了基于分类正确度的粗糙集模型,该模型已用于作者研制的数据挖掘方法MIE-RS上。

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  • Real biological data experiments have shown that this algorithm will significantly increase the classification accuracy of the existing classifiers.

    真实的生物学数据实验证明该算法可显著提高分类器的分类准确性。

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  • When the data dimensionality is reduced 90% by using the proposed method, the overall classification accuracy of nine classes of ground cover reaches 80.2%.

    利用该方法进行处理,当高光谱数据维数降低了90%时,9类地物分类实验的总体分类精度可以达到80.2%。

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  • The results demonstrate that the methodology can classify the customers effectively, extract the classification rule and enhance the classification accuracy.

    通过实例验证了这种方法能够有效地对客户进行细分、提取分类规则,并提高了分类准确性。

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  • The experiment results show that the proposed approach has the merits of high learning efficiency, high classification accuracy and high generalization capability.

    实验结果表明,所提出的方法具有学习效率高、分类准确率高、泛化能力高的优点。

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  • This indicates that BP Neural Network method is an effective wetland classification method, and it can improve the classification accuracy of Remote Sensing images.

    结果表明:BP神经网络分类法是一种有效的湿地分类技术,能够提高分类精度。

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  • Compared with the classification method purely based on spectral character, this method can improve the classification accuracy and refine object classes in some extent.

    与单纯基于光谱特征的分类方法进行比较,该方法在一定程度上改善了分类精度,细化了地物类别。

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  • The experiments show that the classification accuracy of the model based on fuzzy number-valued fuzzy integral is higher than the accuracy of the weighted average model.

    实验表明,基于模糊数值模糊积分方法的分类精度要高于基于加权平均方法的分类精度。

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  • Further, a hybrid BP algorithm with dead interval of error is derived for training the neural classifier in order to increase training speed and classification accuracy.

    此外,提出用带输出误差死区的混合BP算法训练神经元分类器,提高了网络学习训练速度和分类准确性。

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  • Feature selection is frequently used as a preprocessing step to text classification, which is effective in reducing dimensionality and increasing classification accuracy.

    特征选择是文档分类中常见的预处理工作,通过对文档特征空间降维,可以提高文档的分类性能。

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