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Based on these data,AOT and Angstrom parameters were retrieved.Through analyzing the variation of AOT and Angstrom parameters,the reason which cause the variation was discussed.

利用这些数据，反演了气溶胶光学厚度和相应的Angstrom参数，分析了光学厚度和Angstrom参数的日变化和逐日变化，并讨论了这些变化的原因。

The building rules of GLCM （ the best gray levels and pixels interval） were confirmed by experiment. GLCM texture parameters of 300 wood specimens were calculated and assayed, and then placed into a Competitive Neural Network for classification output. The results are as follows: 1） GLCM parameters Angular Second Moment contrast , correlation , entr

以"角二阶矩"、"对比度"、"相关"、"熵"、"方差"、"逆差矩"作为描述木材纹理的特征参数是合适的。2）在比例为1：1的512×512木材图像情况下，生成灰度共生矩阵的最佳像素间距为4，最佳图像灰度级数为128.3）木材纹理图像灰度共生矩阵的"角二阶矩"、"相关"和"熵"值最大的方向为纹理方向。4）竞争神经网络的分类正确率为88％。

This wrapper cannot only intercept the functions to record the parameters and the return value but also receiving testing directives to replace calling parameters and the return value with any arbitrary value.

经由包覆的技术，不但能记录相关重要参数，也能接受测试指令进行呼叫参数与返回数值的任意替换。

Some recent methods of parameters' optimization are analyzed, and several characteristics of efficient arithmetics to optimize parameters of support vector machine are generalized.

首先介绍最近出现的参数优化方法，概括了高效率的参数优化算法应具备的若干特点。

In autoregression models, when the parameter from GED is known, adaptive rejection sampling method is used to estimate parameters; when the parameter from GED is unknown, we have to decide a range, also use the same method to give a reasonable estimate of the parameters.

在自回归模型中，GED分布的参数已知的情况下，基于似然函数的形式用拒绝抽样方法估计自回归系数；GED分布的参数未知时，我们给定参数的范围，用拒绝抽样方法寻找自回归系数合理的估计值。

The AR spectrum is not restricted by length of data, and AR spectrum parameters are sensitive for law of condition change. Autoregressive transformation is made to vibration signals, and then AR spectrum coefficients are got which can be utilized as feature vectors. Fault diagnosis method for centrifugal pump Based on AR and 2D-HMM is produced in this paper. The topology of this model and its parameters were introduced too.

利用AR谱不受数据长度的限制，AR模型参数对状态变化规律反映敏感的特点，以振动信号做自回归变换后的AR谱系数作为特征向量，将基于AR的2D-HMM引入到离心泵故障诊断中，提出了一种基于AR的2D-HMM故障诊断方法，并论述了该模型的拓扑结构和主要参数以及相应的训练和识别算法。

Using ABAQUS/Explicit simulation research and experiment research, from the view of statics and kinematics, it deeply analyzed the basic rules of cold ring rolling deformation, researched the distribution laws of residuary stress, deduced formulas about moving parameters of rollers and constructed design and optimization model for technology parameters. All above researches provided academic and experimental basis for the development of cold ring rolling technology.

本文通过ABAQUS／Explicit有限元模拟研究和实验研究，从静力学、运动学方面，深入分析了环件冷辗扩变形基本规律，研究了残余应力分布规律，推导出了轧辊的运动参数设计公式，建立了工艺参数设计和优化模型，为环件冷辗扩技术应用发展提供了理论和实验依据。

The rule to determine the basting parameters is obtained to provide a theoretical foundation for the optimal design of the blasting parameters in productive practices.

获得了确定段数等爆破参数的规则，从而为生产实践设计最佳爆破参数提供理论依据。

Finishing calculation of mean value, standard deviation, skewness, kurtosis of Beta distribution.(2) Fitting parameters of many kinds of typical distribution and using residual deviation to evaluate fitting precision.(3) Using Beta distribution as an agreed indication distribution applied to many kinds of practical photoelectric measurement distributions.(4) Deriving theory formula of Bayes point estimation about Beta distribution parameters and mean value and standard deviation on the condition of mean square error loss function and supposed the prior distribution is uniform distribution.(5) Generating MCMC sample from post distribution by the method of Gibbs sample algorithm. Calculating bayes point estimation from sample on the condition of mean square error loss function. Calculating confidence interval by an approximate method to complete interval estimation.

本文的主要工作有：(1)解决了Beta分布参数a和b的精确计算以及均值、标准差、偏度、峰度的计算问题；(2)拟合出10余种典型分布的Beta分布的两个参数，并且采用剩余标准差评价该Beta分布的拟合精度；(3)对多种典型的光学与光电测量系统的测量分布进行了Beta分布统示表示；(4)在假设先验分布为均匀分布前提下，得到参数a和b以及均值μ和标准差σ在均方误差损失函数下的贝叶斯点估计理论计算公式；(5)利用直接抽样的Gibbs抽样算法，从后验分布中产生MCMC样本，从样本直接计算均方误差损失函数下的贝叶斯点估计，并使用一种近似方法计算其置信区间，完成区间估计。

We find a set of beam splitter parameters which are very useful for the production of entanglement, and for given input states, we find that the greatest entanglement degree determined by nonclassicalities of two input modes can be obtained using these parameters.

我们还发现一组非常便于产生纠缠的分束器参数，而且对于给定的输入模，就在这组参数下，能够得到分束器所能达到的最大纠缠度，它取决于两个输入模的非经典度。

The second is to cut a mere 100 calories from your diet , which is the equivalent of a tablespoon of butter.

第二个就是从你的饮食中减少一百卡路里，只是相当于一大汤匙的黄油。

This is where the Rorschach test comes in.

现在，罗氏测试就出现了。