• The training and testing went well.

    训练、测试都很成功。

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  • The experiment had two parts: training and testing.

    实验分为训练和测试两部分。

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  • Then the training and testing samples were constructed through technical experiment.

    通过工艺试验构造了训练与测试样本集。

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  • This model has been applied to an application system of the basic SQL statements training and testing.

    该模型已经在基本SQL语句的培训和测试中得到了实际应用。

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  • The system can automatically produce operation tickets and includes the function of training and testing.

    除了智能自动开票的功能之外,还引入了培训和考核功能。

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  • Compared with the conventional GMM method, the training and testing speed of this method is much faster.

    与传统的GMM方法相比,该方法的训练和识别的速度更快。

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  • From the training and testing curve, software instruments obtain certain accuracy, satisfying the requirement of project.

    从训练曲线和检验曲线上看,软测量仪表达到一定的精度,满足工程要求。

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  • Taking 18 sets of parameter data of underground mine as training and testing samples, the ratio of mis-discrimination is 0.

    对18组地下矿山的特征参数值作为学习样本进行训练和检验,回判估计的误判率为0。

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  • By training and testing the established BP net based on data from production quality record, it shows that this method is feasible.

    并将生产实践中采集到的质量记录数据,对所构造的BP网进行训练与检验,证明其切实可行性。

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  • Taking cable tension indices as inputs of neural network for both training and testing, damage locations are indicated by the outputs of the network.

    以不同损伤程度下斜拉索张力指标作为神经网络的训练与测试输入,由神经网络的输出来指示损伤位置。

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  • Through the analysis of the output of training and testing samples, we could draw a conclusion that this system is characterized by higher precision and good generalization ability.

    通过系统对训练样本和测试样本的输出,可以看出:系统具有较高的精度和泛化能力。

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  • We solve the multi-classification task by using a so called Coding SVM. By using this algorithm, we not only solve the classification task but also reduce the training and testing time.

    采用了一种基于编码支持向量机的多分类方法,该方法解决了SVM多分类问题的同时,有效地减少了训练和测试时间,提高了算法的效率。

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  • 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。

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  • The method uses wavelet transform and principle component analysis to preprocess fault signal, afterward training and testing wavelet neural network with the preprocessed fault characteristic data.

    该方法首先利用小波变换和主成分分析对故障信号进行预处理,然后用处理后的故障特征数据对小波神经网络进行训练和测试。

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  • The method uses wavelet transform and principle component analysis to preprocess fault signal, afterward training and testing wavelet neural network with the preprocessed fault characteristic data.

    该方法首先利用小波变换和主成分分析对故障信号进行预处理,然后用处理后的故障特征数据对小波神经网络进行训练和测试。

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