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continuous approximation相关的网络例句

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

The application of the lattice Boltzmann method in unsteady open channel flows was studied in detail in the paper. An existing lattice BGK model was mended; For the problem of negative local equilibrium and evolutionary distribution, we proposed a lattice Boltzmann model based on cell-population equilibrium, which is a direct non-negative approximation to the continuous Maxwell distribution. The model reduces the transport and collision, two basic evolution steps in the LB model, to transport of the non-equilibrium distribution.

本文系统的研究了格子Boltzmann 方法在明渠非恒定流中的应用问题,改进了一个现有的LB 模型,数值实验表明此改进是有效的;在平衡态分布函数及分布函数的非负性问题上,作者提出了一个基于单元均衡的格子Boltzmann 模型,通过直接对Maxwell 分布函数的离散化实现对速度分布函数的非负离散,这种方法将传统模型演化过程中的碰撞和输运两个步骤直接表现为粒子的输运。

We study the relations among MS, QMDS, RBVS, AMDS, GBVS and NBVS. Finally. we improve some classic results in Fourier analysis such as uniform convergence, L~1 convergence, L~p-integrability, strong approximation of continuous functions et al., by applying this new condition.

我们研究了MS,QMDS,RBVS,AMDS,GBVS和NBVS等不同数列之间的关系,在此基础上,我们给出了NBV条件在研究三角级数的一致收敛性、L~1收敛性、L~p可积性、连续函数的强逼近等Fourier分析经典问题上的应用,对一些经典的结论作了推广。

Properties of measurable functions; approximation by simple functions and by continuous functions; convergence in measure; Egoroff's theorem; Lusin's theorem; Jensen's inequality.

可测函数。可测函数的性质;简单和连续函数逼近;测度收敛;叶果洛夫定理;鲁津定理;詹森不等式

ADAMS. According to a function with STEP5 has features of continuous first and second derivative,the higher degree of approximation,etc.,we test and verify feasibility of fore-and-aft movement and turning gait of the robot. Thus a solution of the Snake-like robot motion under the ADAM...

ADAMS软件对蛇形机器人进行了从样机模型建立到运动学仿真与分析等一系列研究;并根据STEP5函数具有一阶与二阶导数连续、较高的逼近程度等特性验证了蛇形机器人前后移动和左右转弯步态可行性;找到了一种在ADAMS环境下求解机器人运动的方法,简化了理论计算,提高了设计效率。

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。

In this paper,the authors give a strict proof of geometric Brown motion displayed by stock prices using the methods of approximation from discrete process to continuous stochastic process.

通过由一般的离散过程逼近连续随机过程的方法,给予证券价格按有漂移率的几何布朗运动变化的一个严格的证明,并指出了股票价格过程的一般模型

In the network method, the neural network with powerful function of approximation is used to get the continuous approximate function of the discrete fringe pattern.

在测量过程中,利用神经网络强大的函数逼近能力,得到离散条纹图的连续逼近函数,从中解出物体的相位分布信息,获得物体的三维面形分布。

Proposed in the p aper are the ordered monotony property of MFNNs when the transfer function is mo notone, the continuous mapping theorem, and non-approximation theorem to functi on.

给出了单调传递函数的MFNNs按序单调特性、连续映射定理以及非函数一致逼近定理。

Therefore, to the subsample's observation of continuous random parent population, if its material function can not be gotten easily,the presented method can be used to approximate its distribution function,and good approximation effect can be achieved.

因此对连续型随机样本母体中的简单随机子样的观察值,在不易得到其具体分布的情况下,可用此方法来近似求出其分布函数并可达到很好的逼近效果。

Therefore, to subsample"s observation of continuous random sample parent population, if we can"t get its material function easily, or we dont know its density function, we can use this way to approximate its distribution function. And these methods can achieve good approximation effect.

对连续型随机样本母体中的简单随机子样的观察值,在不易得到其具体分布或不知道其密度函数的情况下,可用此方法来近似求出其分布函数并可达到很好的逼近效果。

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The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应,而且减少跟风的可能性。

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