样本法

方法方便样本法。采用添加法测定回收率。

Methods The approach of convenient samples was used .

用联合样本法确定直升机零件的疲劳分散性

Estimation of the fatigue strength scatter for helicopter components by a pooling sample method

提出了一种适合于渡槽结构系统可靠度计算的重要样本法。

An adaptive important sampling methodology is proposed to calculate the structural system reliability of aqueducts .

使用滚动样本法进行的稳健性检验表明，该结论具有很好的稳定性。

The use of rolling sample method for robust test shows that , this conclusion has good stability .

针对卫星遥感资料短的特点，采用时间和空间结合扩大样本法效果较好。

It also shows that the method of extending sample data by integrating time and space is efficient as satellite remote data is always in short term .

分别采用重要样本法和β法对潜艇结构单个失效模式进行了可靠性模拟，并参考Grooteman的方法提出一种自适应β法。

And the applicability of two methods is studied . ( 2 ) The important sampling method and β - sphere sampling method are used to simulate the structural reliability of each single failure mode of submarine .

综合运动模型将运动数据和相关的处理用面向对象的方法进行封装，允许不同类型、不同结构的数据和不同种类的处理方式并存，适用于函数法与样本法的不同运动模型构造方式。

GMM encapsulates motion data and their processing according to object oriented method . It allows different processing methods and data with different types existing in same object , and is suitable for both function method and sampling method of motion model .

多光谱遥感图像BP网分类器学习样本选取法的研究

Learning sample selection in multi-spectral remote sensing image classification using BP neural network

提出了一种改善BP网络学习能力的样本添加法，它是根据人类学习知识时存在遗忘现象而设计的.首先阐明其工作原理与学习算法；

A sample increasing method for BP neural networks is proposed . It is designed based on the phenomenon of forgetting when men are learning knowledge .

针对此问题，提出使用基于绕封模型的故障特征选择方法，它采用遗传算法对特征集寻优，样本划分法进行错误率预测估计和BP神经网络学习算法进行分类。

The approaches to the subject include : genetic algorithm for optimal feature subset selection ; k-fold cross-validation method for error rate evaluation and BP neural network for fault classification .

该文在分析以前方法的特点和不足的基础上，提出了异常驱动样本构造法，并用基于RBF神经网络的属性约简方法来处理学习样本。

This paper presents the method of Exception-Driving to select the samples and uses Attribute Reduction Method Based on RBF Neural Network to process the samples .

介绍了两种传统的参数估计方法：样本训练法和EM算法，并对两种方法进行了数值模拟和对比。

Two traditional parameter estimation algorithms are introduced : the sample training algorithm and the EM algorithm , and then numerical experiments are done to compare with the two algorithms .

大型产品MTBF计算方法的研究&轮胎式装载机MTBF的等效样本计算法

A Study on Calculating Method About MTBF of the Large-Scale Product ── The Equivalence-Sample Method Used for Calculating MTBF of the Tyre-Type Loading Machine

本文指出了应用分离样本验证法率定水文模型参数的不足，引入并探讨了hv-block交叉验证法的适用性，并与分离样本验证法进行比较。

This paper pointed out the disadvantages of the spilt-sample validation method and introduced the hv-block cross-validation method for the hydrological model calibration .

小样本检验法异方差分析方法

A New Approach of Small Sample Test METHOD FOR HETEROSCEDASTIC ANALYSIS

右美沙芬代谢多态性分型中的混杂样本剖析法

Dissection of mixed sample for phenotyping of dextromethorphan metabolic polymorphism

两样本间接法标准化率比较的显著性检验

Significance Test for Comparing Two Sample Indirectly Standardized Rates

间接蒸发冷却器的设计计算方法小样本检验法

Thermal analysis of the indirect evaporative cooler A New Approach of Small Sample Test

制订医学诊断参考值的混杂样本剖析法

A Method of Dissecting Mixed Samples for Estimating the Reference Intervals of Medical Diagnosis

小样本检验法

A New Approach of Small Sample Test

我国各地农机化发展水平的一种有序样本分类法

A Clustering Method for Ordering Samples and Its Utilization in Study of Farm Mechanization Level

在网络训练中，我们给出了负梯度下降法和样本训练法两种参数改进方法。

In network training , we provide two parameter-improving methods : steepest descent method and sample training method .

混合肌肉样本消化法是目前国际旋毛虫病委员会推荐使用的方法。

The pooled sample digestion testing is the method recommended by International Commission on Trichinellosis ( ICT ) .

支持向量机二次优化算法主要包括块算法、固定样本集法和次序最小优化算法。

The quadratic optimization algorithms of support vector machine composed by chunking algorithm , fix-sample algorithm and sequential minimal optimization algorithm .

利用样本追踪法、数据对比法和数理统计法，分析与实践了改革体育课的教学内容与教法，认识到抓好课外训练是培养合格警察的必由之路。

Extracurricular physical education as an important part of RE schooling is one of the basic ways to carry out the goal and task of RE Schooling .

但是，实验费用昂贵，因此戈塞特设计了小样本测试法，因为他想了解，要进行多少次实验才能确信其试验结果。

But experiments are expensive and Gosset developed his small-sample methods because he wanted to understand how many experiments were necessary to be confident of his results .

本文介绍了研究引文行为和引文动机的4种不同的调查法，即抽样样本调查法、系统研究调查法、经验研究调查法和较大规模研究调查法。

This essay introduces 4 kinds of Investigation of Citation behavior and motivation , that is Sample Survey 、 Systematic research survey 、 experience research survey and Large-scale research survey .

使用异常驱动样本构造法可以方便、科学地根据异常属性出现的频率选择学习样本的属性和根据每条样本的空缺属性率选择学习样本。

Using the Exception-Driving method , people can easily and scientifically select the attributes of samples by frequency at which the exception attribute arises , and select the samples by vacant attribute frequency .

利用样本空间排序法推断Logistic模型下的响应率

Inference for Response Probability Based on the Method of Ordered Relations in the Sample Spaces Under Logistic Model

基于Logistic响应模型，在感度数据下，应用样本空间排序法给出了响应率的下限估计。

Gives the lower limit estimation of response probability based on the method of ordered relations in sample spaces under logistic response model .