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approximation method相关的网络例句

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

The revised Hargraves formula has the best result compared with Penman-Monteith formula, the average relative error is 6%, moreover, Hargaves method requiring the least data in calculating ETo, so this method has the high actual application value; The following are Radiation method and Blaney-Criddle method ; The worst is the Pan method, even after revised, the highest and average relative error is 36% and 10%, respectively. So, in this study, Penman-Monteith method, Radiation method, Blaney-Criddle method and Hargraves method are used except Pan method.

在这四种方法中,修正后的Hargraves方法与彭曼—蒙特斯方法的计算结果符合最好,其平均相对误差为6%,而Hargraves方法需要的气象数据只有计算时段的最高、最低温度,该方法具有较高的实际应用价值;辐射方法和布兰尼—克里德尔方法次之;蒸发皿方法最差,即使在修正后,E601型蒸发皿的最大误差也高达36%,平均为10%,所以在预报系统的研究设计中采用了除蒸发皿方法之外的四种方法。

The primary studying works and characteristics:1 To summarize reinforcing theory of cement mixing pile composite foundation2 To analyze the primary mechanics characters and changing rules of cement mixing pile, based on analysis of test data both indoor and outdoor.3 To discuss siding frictional resistance, ending resistance, ultimate bearing capacity of simple mixing pile and effectiveness factor of grouped piles, loading ratio of soil between piles under cushion cap of grouped piles and stress ratio of pile and soil and so on, and use many computation method and experimentation method to ensure bearing capacity of mixing piles composite foundation.4 To point out and analyze eight sides flaws and problems of the bearing capacity calculation method of mixing pile compositefoundation which ensured by national and normative method/ formula.5 To apply test results of loading tests and a few settlement observation data, use gray theory to predicate ultimate bearing capacity of deep mixing piles, actual example demonstrate engaging between theoretical predicted value and actual value.6 To apply groovy layerwise summation method to discuss entity piles method, double foundation method, equivalent layerwise summation method and consolidation theoretical method and so on, especially by combination of engineering example, use FEM to calculate or discuss the settlement and changing rules of composite foundation.7 To discuss problems of critical length of composite foundation by combination of engineering example and numerical analysis method, and analyze the contrast of critical length between simple pile load and most area load of composite foundation, not only critical length of composite foundation is relative to modulus ratio between piles and soil, but also upside load distribution area of composite foundation.

主要的研究工作与特色为:(1)总结了水泥搅拌桩复合地基的加固原理;(2)在对室内外试验资料进行统计分析的基础上,系统分析了搅拌桩水泥土的主要力学特性及其变化规律;(3)探讨了搅拌单桩的侧摩阻力、端阻力、极限承载力及群桩效率系数、群桩承台下桩间土荷载分担比及桩土应力比等,提出用多种计算方法并结合试验方法来综合确定搅拌桩复合地基的承载力;(4)明确指出和分析了按国家有关规范的方法确定搅拌桩复合地基承载力所存在的八个方面的缺陷与问题;(5)利用过去没有加载至破坏阶段的载荷试验成果和较少的沉降观测数据,尝试了用灰色理论预测深层搅拌桩的极限承载力,实例表明理论预测值与实测值吻合较好;(6)在常规分层总和法的基础上,探讨了复合地基沉降计算的实体墩基法、双层地基法、等效作用分层总和法、固结理论法等,特别是结合工程实例,用有限元数值计算等方法计算和讨论了搅拌桩复合地基的沉降及其变化规律;(7)结合工程实例,用数值分析方法探讨了复合地基临界桩长的问题,指出和分析了单桩荷载下的临界桩长与复合地基大面积荷载下的临界桩长存在很大的差别,复合地基的临界桩长不仅与桩土模量比有关,而且与复合地基上部荷载分布面积有关。

Results show that radial basis function and point interpolation methods possess Kronecker Delta function property, but the robustness is poor in some cases; the MLS approximation function does not possess Kronecker Delta function property, but it has good robustness. Differences among the three discretization schemes of meshless method are as follows:the collocation method requires no numerical integration and very little computational time while its robustness is poor; Galerkin method is not a truly meshless method due to the background meshes required for integration; the Petrov-Galerkin method is a truly meshless method and need numerical integration in each sub-domain, so it needs more computational time.

分析结果显示:径向基函数和点插值法均具有d 函数属性,但计算稳定性差;移动最小二乘近似函数不具有d 函数属性,但计算比较稳定;无网格方法中的3种离散方法不同之处在于:配点法不需要积分,计算量小,计算稳定性差;Galerkin方法需要借助背景网格进行积分,它不是真正的无网格方法;Petrov-Galerkin方法,是一种真正的无网格方法,它需要对每个子域进行积分,计算工作量较大。

The new method is a combination of characteristic approximation to handle the convection part, to ensure the high stability of the method in approximating the sharp fronts and reduce the numerical diffusion, a smaller time truncation is gained at the same time, and a mixed finite elementspatial approximation to deal with the diffusion part, the sealer unknown and the adjoint vector function are approximated optimally and simultaneously.

此方法即为对方程的对流项沿流体流动的方向即特征方向进行离散,从而保证格式在流动锋线前沿逼近的高稳定性,消除了数值弥散现象,并得到了较小的时间截断误差;另一方面,对方程的扩散项采用混合元离散,可同时高精度逼近未知函数及其伴随向量函数,理论分析表明,此方法是稳定的,具有最优的L~2逼近精度。

The method based on the frequency sampling is taken from the interpolation theory. The method based on the Chebyshev best uniform approximation theory can control the precision of approximation by limiting parameters.

频率采样脉冲波形设计法源于数值逼近理论插值法,所得脉冲波形有确定解析式;Chebyshev最佳一致逼近脉冲波形设计法属于均匀一致逼近,逼近程度能够利用参数进行限定。

It solves the imaging problem in great contrast. In chapter 2, the author deeply studies and analyzes the arithmetic of the method of Born approximation inversion and points out the limitations and disadvantage of the method. The good inverse results can be obtained in little disturbance by Born approximation.

本文提出的反演理论,考虑到散射序列中高阶项对成像结果的影响,在反演时利用逆散射序列中的高阶项以弥补散射场数据的丢失,使得在大扰动量的情况下同样能够实现界面位置和形态的精确成像,解决了大对比度情况下的成像问题。

After summarizing the existing research results, this article proposes new methods on moving force identification based on radial basis function approximation method and cubic spline function approximation method, and discusses the influence which some parameters to the precision of identification through calculating an example.

文章首先在第一章中介绍了已有的移动荷载识别方法及国内外的研究状况,在此基础上提出了研究目标和意义,即提出新的移动荷载识别方法,并通过数字模拟来讨论新方法的精度,以便评估桥梁的动力特性,为桥梁的设计和汽车性能的改进提供依据。

The stopband error of prototype filter is used to be the objective function for optimization. Instead of the method of least square approximation, this paper introduce the method of best uniformity approximation.

选择低通原型滤波器最大阻带衰减为优化的目标函数,通常的优化目标函数选用最小平方逼近的方法,本文提出了使用最佳一致逼近的方法。

In this paper, the theory, algorithm, and experiment of automatic object detection and tracking are studied in depth. It is firstly pointed out that the essential of Mean Shift method is a special Newton-Gaussian method. A new method named Fast Mean Shift is established to stretch the conservative step of Mean Shift method. The convergence and validity of this new method are proved in theory. And it is also proved that the convergence speed of Fast Mean Shift is faster than that of Mean Shift. The contrast experiments of searching the maximum possibility density of random of data sets in plane and 3D space are done. The results show that this new method can reduce the iterations greatly. A new object tracking method based on Fast Mean Shift is built to improve the object tracking performance, which is shown in the face tracking experiment with the tennis sequence provided by the Ohio State University, and the car tracking experiment with the car sequence provided by Kalsruhe University. The face trcking experiment with highly noised images show that the object tracking method based on Fast Mean Shift has strong anti-jamming ability. A new fast color object detection technology based on characteristic color is established, which use characteristic color distribution to compute the characteristic color vector of any area in an image quickly. With the high performance search method, the fast object detection is achieved. At last, using object tracker based on Fast Mean Shift and color object detector based on characteristic color with the Kalman filter, PID controller, searial communication and other technologies, automatic object detection and tracking system with control system is built. The availability and anti-jamming ability of this system are verified by some object detection and tracking tests in different scenes.

本文对目标自动识别与跟踪进行了理论、计算、试验三方面的深入研究,主要包括:首次指出了目标跟踪技术中常用的均值迁移方法的本质为一种特殊的高斯-牛顿方法,改进了均值迁移方法步长取值保守的弱点,建立了快速均值迁移方法,证明了该方法的收敛性、有效性以及收敛速度优于均值迁移方法;进行了平面和3维随机分布数据集的最大概率密度搜索对比试验,试验结果表明,快速均值迁移方法大大减少了迭代次数;建立了基于快速均值迁移的目标跟踪方法,利用俄亥俄州立大学提供的乒乓球序列图像和卡斯鲁厄大学的汽车序列图像,对人脸和汽车目标跟踪性能分别进行了对比试验,并进行了高噪声人脸图像目标跟踪试验,结果表明,基于快速均值迁移的目标跟踪方法有效提高了目标跟踪性能,具有很强的抗干扰能力;建立了一种新型彩色目标自动识别方法,采用特征色彩分布函数实现了对任意图像区域特征色彩矢量的快速计算,建立了高效的搜索方法,实现了彩色目标的快速识别;将基于快速均值迁移方法的目标跟踪方法、基于特征色彩的目标识别方法与卡尔曼滤波、PID控制、串行通讯等技术结合,建立了带有控制系统的快速目标自动识别与跟踪系统,并在不同场景下进行了目标自动识别与跟踪试验,验证了快速目标自动识别与跟踪系统的有效性和抗干扰能力。

Till now, there are a lot of generators such as the classical Fibonacci method, mid-square method, linear congruential method, feedback shift register method and combined method; the recent nonlinear congruential method, decimal fraction method, add-with-carry and substract-with-borrow methods, generalized feedback shift register method and MT method, and so on.

至今关于随机数发生器有很多的理论和方法,其中除了传统的Fibonacci法、平方取中法、线性同余法、位移寄存器法和组合方法;最近还有非线性同余法、取小数法、进位加和错位减法、广义反馈位移寄存器法和MT法等等。

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