样本值

基于实测样本值和Bayesian方法的服役结构抗力随机时变模型

A model stochastic time-dependent resistance of existing RC structures based on the Bayesian method and measured sample value

此外，将盲区半径指标Rm看成是一个随机变量，每次弹着点的最小半径作为样本值，通过直观的方法得到Rm的3种点估计。

Further , deeming the blind area radius index R m to be a stochastic variable , and the minimum radius of each point of fall of the missile bullets to be the sample value ; three types of point estimate of R m are obtained through some intuitionistic method .

当噪声样本值不准确时，估计精度与门限K的选择有关。

As for the imprecise noise samples , the estimation precision is dependent on the threshold parameter K.

对每个象素点时域上的N个帧差样本值进行t分布显著性检验，判断象素点是否发生了变化；

Then , a t-distribution significance test was performed on the N temporal difference samples for every pixel to judge whether it was changed .

基于样本值为正数条件下的AR模型平稳性研究

Research on the Stability of the AR Model under the Condition of the Positive Value of the Sample

样本值统计图的ActiveX实现

The Implementation of ActiveX in Sample statistic Diagram

实验数据表明，采用免疫算法确定的频率过渡带样本值是最优的，设计的FIR滤波器的频率特性优于查表法。

Experimental data have shown that the value of transition band sample obtained by IA can be ensured to be optimal and the frequency characteristic of the filter is improved .

该算法从经典的卡尔曼滤波出发，使残差达到最小，以残差（residual）样本值代替统计值，再用最陡下降法估计算自适应权增益，最后得到一组自适应滤波公式。

Originating from the classical Kalman filtering , this method makes residual least . By substituting residual sample for statistical value and estimating adaptive gain matrix with steepest decent , a group of filtering formulae is finally obtained .

根据路面样本值，运用ARMA模型建立路面不平度时间序列，建立1/2车辆平顺性模型。

Time series of road roughness is established by the ARMA model according to road specimens and a 1 / 2 vehicle ride model is established .

在通过ADF检验的15个样本值中，本文做了协整分析，以求发现M2、GDP和CPI的长期关系。

The paper made co integration among the 15 samples which passed the ADF tests to discover the relationship among M2 , GDP and CPI in the long run .

对于数据集中的异常样本值，本文提出了一种解决方案：先删除异常的属性值，然后再用遗传BP神经网络模型进行预测填补，通过实验证明这种方案的可行性。

In this paper , we propose a scheme to solve the problem of outlier data patterns that the value of outlier data pattern is deleted first and then is predicted by the model of Genetic Algorithm and Neural Network .

在反推OD矩阵的非结构化方法中，各模型都将路段流量一次观测得到的样本值作为路段流量的真实值来推算OD矩阵，导致推算结果出现偏差。

In the unstructured methods of OD-matrix estimation , almost every models take once observed sample of traffic flow as the true value to project OD-matrix , resulting in the deviation of the projection results .

采用改进遗传量子算法（IGQA）进行FIR数字滤波器的优化设计，将滤波器的过渡带样本值作为变量进行优化，解决了传统方法（查表法）不能保证数据最优的问题。

Improved genetic quantum algorithm ( IGQA ) is used to design FIR digital filters . Samples in transitions of filters are optimized , which solves the problem that values obtained by look-up table method ( LTUM ) are not optimums .

两指标线性平稳过程的样本值的两个收敛速度

Two convergence rates of the sample value of two-parameter linear stationary process

岩石样本值既存在随机性，又存在模糊性。传统的统计方法不适应处理模糊性。

Rock sample has random and fuzzy characteristics , the traditional statistic method isnt suitable for processing fuzzy attribute .

参考图象包含了后续图象进行帧间预测解码时所需要用到的样本值。

A reference picture contains samples that may be used for inter prediction in the decoding process of subsequent pictures in decoding order .

在训练过程中，将交叉熵作为神经网络输入端的样本值，译码错误作为期望输出值进行自适应模拟。

In training process , the whole neural system is modeled by using cross entropy as input , and decoding errors as output .

对试验数据估计通常需要作正态假设，获得正态分布样本值信息。

In order to obtain the sample message of normal distribution , a normal hypothesis is used for the estimation of test data in general .

车辆-桥梁耦合体系具有很强的随机性，传统计算方法只是对样本值的计算，无法对车桥系统的随机性进行分析。

Train-bridge coupling system has large randomness . The common calculation is only aiming at the special sample , and the randomness can not be observed .

通过相隔固定的帧差值阅值化得到背景样本值，并采用高斯核密度估计方法计算背景灰度的概率密度函数。

The background samples are chosen by thresholding inter-frame differences , and the Gaussian kernel density estimation is used to estimate the probability density function of background intensity .

响应面法分析：由中心复合抽样法得到的样本值确定出响应面方程，然后在该响应面上进行1000000次的蒙特卡罗模拟；

RSM analysis : From samples based on central composite design , the response surface is regressed ; subsequently Monte Carlo simulations of 1000000 times in the response surface are applied .

用遗传算法确定过渡带样本值，解决了传统方法（查表法）不能保证数据是最优的问题；

As the value of transition bands sample is obtained by GA , the problem that the value obtained by searching for table method is not the optimal can be solved .

当从信号中所采的样本值非常均一时，我们就认为这些样本足以用来表征信号的特征，所以就不需要再进行采样；否则，需要继续采样。

When the sampled values are homogeneous enough , we assume that they represent the signal fairly well and we do not need further refinement , otherwise more samples are required .

如果得到了随机变量的一组样本值后，希望利用样本值来估计变量分布中的参数值，这在工程中是一个比较重要的问题。

If a set of sample value has been obtained , we wish use it to estimate parameter value of the distributing variable . It is a very important problem on engineering .

利用独立随机抽样的样本值，即可获取虚拟随机过程的瞬时概率密度函数，进而获得随机变量的概率密度函数估计。

The instantaneous probability density function of the virtual stochastic process is evaluated , and then the probability density function of the basic random variable is obtained by employing the independent random samples .

提出了基于检测的样本值的服役结构抗力的随机时变模型，可较为简便和有效地进行服役结构可靠度分析中的抗力估计。

Based on measured sample value , a resistance model of stochastic time-dependent for existing structures is proposed , which can estimate conveniently and effectively the resistance for reliability analysis of existing structures .

这种求和方法不要求各个随机矢量在相位上具有0~2π的概率分布，使用的统计样本值较少。

This kind of summation method does not require the probability distribution of each random vector is within the interval ( 0 , 2 π) in phase angle , so less statistical samples value is to be used .

为挖掘各方案评价指标样本值的整体差异信息，提出了基于理想点法和加速遗传算法的改进投影寻踪评价新方法。

For this reason , in this paper the whole diversity information of evaluation index sample values can be mined by using projection pursuit evaluation method based on ideal solution point method and accelerating genetic algorithm ( TOPSIS-PP ) .

灰色关联的基本原理是将评价对象看作可以排序的序列，当选定一个最优序列后，样本值与最优序列的关联度越大表明被评价对象越好。

The basic principle is that evaluate object can be seen as a sort of sequence . When an optimal sequence is selected , the sample values and optimal sequence are indicating greater , the evaluation objects are better .

应用人工神经网络建立热带森林火灾发生情况预测的多层神经网络模型，并将林火发生影响因子的历史数据作为样本值，输入模型进行训练。

The multi_layer neural network model of the forest fire forecast was built based on the artificial neural network , and the historical data of the factors that were related to the forest fire closely were treated as samples to be trained for the network as well .