training data acquisition based on na assumption

to improve the performance of bp neural network, the training data has to be optimized.

为有效提高神经网络的控制能力，训练数据的选择非常关键。

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anomaly detection method for noisy training data

一种非纯净训练数据异常入侵检测方法

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however, these methods' successes depend on enough training data deeply.

不过，有指导方法依赖于足够的训练语料。

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this method employs two transformations on the representation of the training data.

这种方法在使用了在输入数据表示上的两个变换。

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an iterative modified kernel based on training data

一种基于训练数据的迭代改进核函数

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sample reduction strategy for svm large-scale training data set using pso

利用粒子群算法缩减大规模数据集SVM训练样本

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using fast global clustering algorithm to extract chemical engineering modeling's training data

一种快速全局聚类算法应用于化工建模的数据提取

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the model achieved high accuracy in both training data set and test data set.

模型在训练数据集和测试数据集上都达到了较高的准确率。

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first, the data is randomly divided into training data and test data.

首先把数据随机地分成训练数据和检验数据。

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it does not need training data;

频偏估计过程不需要训练序列；

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training data are gained through fem modeling and experimental data.

训练数据通过有限元建模和实验数据得到。

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construction method for training data set in classification algorithm of support vector machines

支持向量机分类算法中训练样本集的构造方法

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the most important part of work is labelling the training data.

其中最重要的一部分工作就是对训练数据进行标注。

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study on image annotation based on web training data

基于互联网数据集的图像标注技术研究

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the fuzzy evaluating method was used to construct training data.

该模型采用模糊综合评价算法构造训练样本集。

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a chinese text classification system based on dynamic training data set

一种动态调整训练集的中文文本分类系统

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new method of svm learning with large scale training data

大规模训练数据的支持向量机学习新方法

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design and application of management and analysis system of diving training data

跳水训练数据管理与分析系统设计与应用

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the result on synthetic data show that the two velocity analysis methods introduced in this paper obtain a higher resolution in time and velocity compared with conventional velocity estimation factors.

这样就可以将地面地震的速度分析方法引入VSP中。理论模型计算结果表明，文中提出的两种速度分析方法比常规速度分析方法具有更高的分辨率。

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the results of the experiments applied to both synthetic data and real-world images validate that the algorithm has better robustness to outliers and noise.

实验结果表明了模拟数据和真实图像实验均表明该算法对出格点和噪声具有相对较好的鲁棒性。

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