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松弛参数

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By comparing and analysing the change of some structure parameters in relaxation, the influence of e...

通过分析和对比松弛前后各模型的各种结构参数的变化,讨论了各类边界条件对松弛模型结构的影响。

Many subdivision schemes have been proposed in the recent three decades, however, most of them are not capable of both reproducing families of curves widely used in Computer Graphics such as conics, and controlling the shape of the limit curve by a tension parameter.

近三十年来已有多种细分方法被相继提出,然而大多数细分方法不能既生成在计算机图形学中广泛应用的特殊曲线,例如圆弧曲线,又存在一个松弛参数能够调整极限曲线的形状。

The structure of flow field and the aerodynamics along with the inner energy excitation and the variable flow conditions were analyzed in details.

采用L-B碰撞模型,分析了内能激发松弛的流场参数特性,从分子碰撞、分子与飞行器表面碰撞的角度,分析了不同来流条件下的流场参数的变化情况。

Compared with 5℃, the relaxation parameter of gel decreased faster at 25℃.

与5 ℃相比,25 ℃下的凝胶松弛参数下降较快。

In order to solve the composite inversion problem of the flexible arm structure, an improved identification method is proposed by combining the relaxation method with the modified total compensation method.

为了解决悬臂型桥墩结构在输入信息未知条件下的物理参数识别问题,采用将松弛法与改进的全量补偿算法结合起来的算法,通过对参数的离散化,对输入未知条件下的-悬臂型桥墩结构的多个物理参数进行了识别。

Parameters simplification of dynamic relaxation method is an improvement of the traditional method, and the increment of iteration is so small that this promoted method is worthy of further studying.

参数简化的动力松弛法是对传统动力松弛法的改进,而计算迭代次数比原来提高不多,因此,本方法值得尝试与进一步研究改进。

Objective:Research Experimental animal Brachial plexus Nerve stress relaxation mechanics characteristic,For clinical provides the stress relaxation mechanics characteristic parameter.

目的:研究实验动物臂丛神经的应力松弛力学特性,为临床提供应力松弛力学特性参数。

By analyzing of materials parameters, Some conclusions can be reached as the mode Ⅰ dynamic stress intensity factor and energy release rate increases with decreasing shear relaxation parameter, and decreases with decreasing swelling relaxation parameter, however elastic parameter have little influence on it.

通过对材料参数的讨论,得到动应力强度因子和能量释放率随剪切松驰参量的减小而增大,随膨胀松弛参量的减小而减小,弹性参数对其影响较小。

The undetermined coefficient in the relaxation factor affects the computing stability and the simulation accuracy greatly.

松弛因子中的待定参数对计算稳定性和模拟精度有很大影响,当待定参数等于0.5时,同化模式的计算结果最优。

This method consists of two steps: first, the image is divided into numbers of nonoverlapping blocks and the GMRF parameters are computed for each of these blocks, then a clustering method is used to merge these blocks, a coarse segmentation and texture types of the image are obtained. Second, a deterministic relaxation neural network is constructed, the parameters of the model estimated from the first step are used as input data, through neural network computation, a fine segmentation is obtained.

提出一种基于高斯-马尔可夫随机场和神经网络的无监督纹理分割方法,方法分为两步:第一步先将图像分为不重叠的小块,在小块中计算GMRF参数,并将此参数和该块的均值、方差作为该块的特征向量,然后进行聚类,得到原图像的一个初始分割和图像中所包含的类别数;第二步构造一个决定性松弛的神经网络,将第一步得到的结果作为初始输入,经过神经网络计算,得到一个精确的分割结果。

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采用不同浓度K2CrO4(0,0.4,0.8和1.2 mmol/L)的Hoagland营养液处理黑麦幼苗,测定铬在黑麦体内的亚细胞分布、铬化学形态及不同部位的积累。

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