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sample method相关的网络例句

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与 sample method 相关的网络例句 [注:此内容来源于网络,仅供参考]

The traditional Canonical Correlation Analysis based image recognition methods always encounter the Small Sample Size problem,which is due to the size of sample and less than the dimension of sample.In order to solve this problem,a new supervised learning method called Two-Dimensional CCA(2DCCA) is developed.

针对传统典型相关分析(Canonical Correlation Analysis,CCA)的图像识别中出现的小样本(Small Sample Size,SSS)问题,提出二维典型相关分析(Two-Dimensional CCA,2DCCA)。

A small sample method for testing the fatigue crack growth rate curve of pressure vessel steel is presented in this paper.

提出了一种测试压力容器钢疲劳裂纹扩展速率的小样本方法,可以综合利用历史数据和当前试验数据确定疲劳裂纹扩展速率曲线。

Among used machine learning methods, the gradient descent method is widely used to train various classifiers, such as Back-propagation neural network and linear text classifier. However, the gradient descent method is easily trapped into a local minimum and slowly converges. Thus, this study presents a gradient forecasting search method based on prediction methods to enhance the performance of the gradient descent method in order to develop a more efficient and precise machine learning method for Web mining.However, a prediction method with few sample data items and precise forecasting ability is a key issue to the gradient forecasting search method. Applying statistic-based prediction methods to implement GFSM is unsuitable because they require a large number of data items to model a prediction model. In the contrast with statistic-based prediction methods, GM(1,1) grey prediction model does not need a large number of data items to build a prediction model, and it has low computational load. However, the original GM(1,1) grey prediction model uses a mathematical hypothesis and approximation to transform a continuous differential equation into a discrete difference equation in order to model a forecasting model.

其中梯度法是一个最常被使用来实现机器学习的方法之一,然而梯度法具有学习速度慢以及容易陷入局部最佳解的缺点,因此,本研究提出一个梯度预测搜寻法则(gradient forecasting search method, GFSM)来改善传统梯度法的缺点,用来提升一些以梯度学习法则为基础的分类器在资讯探勘上的效率与正确性;而一个所需资料量少、计算复杂度低且精确的预测模型是梯度预测搜寻法能否有效进行最佳解搜寻之关键因素,传统统计为基础之预测方法的缺点是需要较大量的数据进行预测,因此计算复杂度高,灰色预测模型具有建模资料少且计算复杂度低等优点,然而灰色预测理论以连续之微分方程式为基础,并且透过一些数学上的假设与近似,将连续之微分方程式转换成离散之差分方程式来对离散型资料进行建模及预测,这样的作法不尽合理,且缺乏数学理论上的完备性,因为在转换过程中已经造成建模上的误差,且建模过程仅考虑相邻的两个资料点关系,无法正确反应数列未来的变化趋势。

Importance sample method has the potential applied value in computer simulation of error control systems.

重要性抽样方法在差错控制系统仿真中有潜在的应用价值。

Based on the sample space of farming area measurement method combining the advantages of remote sensing and sampling theory, spatial sample method has been widely applied for crop planting area.

基于遥感与抽样的农作物种植面积测量方法结合了遥感和抽样理论的优势,已经成为农作物种植面积测量中有着广泛应用前景的测量方法。

Methods:Stratified multiple phases sample method was adopted, 240 female doctors were assessed.

采用多阶段分层抽样方法对240名三级甲等综合医院的女性医生进行调查。

Reproductive health institutions in Suzhou and Jiaxing areas were sampled with stratified sample method.

我国于 1994年就引入生殖健康的概念,并将其作为卫生工作的优先服务项目。

To evaluate which combinations of preprocessing and differential expression method perform well, we consider 4 popular preprocessing methods (MAS 5.0, RMA ,dChip and PDNN) and 5 popular differential expression methods (fold-change, two sample t-test, SAM, EBarrays and limma).

为了评估各种预处理方法与表现量差异方法组合的表现,我们考虑了四种常用的预处理方法:MAS 5.0、RMA、dChip及PDNN,与五种常用的表现量差异方法:fold-change、two sample t-test、SAM、EBarrays及limma。

Fourth, according to the Weibull distributing functions of equivalent loads, calculated the max loads by expanded sample method, acquired eight routine loads spectrum of each roads taking advantages of the Connover classification method, calculated the respective enhancement coefficient in principle of amended Miner linear accumulated fatigue damage rule, by the comparative norm of general tar-paved road, educed the mathematical model of calculating enhancement coefficient of synthesized roads.

第四,根据各路面的等效载荷的Weibull分布函数采用扩展样本法求得了各路面的极值载荷,按照Connover的分级法得到了各路面的八级程序载荷谱。以一般沥青公路为比较基准,采用修正的Miner线性累积损伤理论,根据前桥的S-N和P-S-N关系式得到了各路面的强化系数,建立了综合路面的强化系数计算的数学模型。

The paper presents a new filling-sample method by which the sample quantity filled in a box depends on the energies of γ-rays to be measured. The detection efficiencies of HPGe detector were calculated by using Monte-Carlo method for various γ-ray energies and at various soil sample quantities in a box, and the optimal filling-sample quantities for different-energy γ-rays from radioactive nuclides of 238U, 232Th, 226Ra, 40K, are respectively obtained.

本文提出了样品装量与待测γ射线能量有关联的装样方法,并用蒙特卡罗方法模拟计算了不同能量γ射线的探测效率与样品装量之间的关系,得到用HPGe γ谱仪分析238U、232Th、226Ra和40K等放射性核素活度各自的最佳装样量。

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