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And an integrated navigation algorithm based on the dead reckoning system is put forward in this paper. The algorithm makes use of the output of accelerometers and navigation parameters to update the velocity of SINS.

该算法在传统的航位推算算法的基础上,利用惯组中加速度计组合的输出和航位推算给出的位置与姿态完成了惯导速度更新。

This thesis contributes to geometry compression in the following aspects: Proposes a method of progressive spherical mesh parameterization based on local parameterization by directly projecting the deleted vertices to its neighborhood. Based on spherical mesh paramterization, an adaptive subdivision remeshing method by progressivly redistributing of sampling points is proposed, by this means, the main geometry information of the original mesh can be captured with only a small amount of samples, it can also be used in mesh simplification. By regarding attributes binded on mesh vertices as geometry signals and transferring them onto a uint sphere by means of spherical mesh parameterization, meshes with different attributes are compressed with spherical wavelet successfully with high compression rate. As a kind of lossy geometry compression technique, two mesh simplification algorthimes are also presented in this thesis.

归纳起来,本文的主要贡献有:提出了以直接投影局部参数化方法为基础的网格累进球面参数化方法;在网格球面参数化方法的基础之上,提出了一种基于累进优化布点方案的网格细分采样方法,该方法可以用很少的采样点就可以捕获到网格的主要特征,因此我们也将其用于后面的网格简化工作当中;通过将网格顶点上定义的各种属性看成几何信号,并以网格球面参数化为手段将几何信号迁移到单位球面上,从而成功地实现了用球面小波对各种几何信号的压缩;作为一种有损压缩方法,本文还提出了基于统一距离的网格简化算法和基于重采样的网格简化算法。

Firstly, illustrate the fundamentals (differential-integral optimizing theory) of the category of algorithms briefly in the sight of differential and integral calculus. Then two examples of the category of algorithms are listed.

首先从函数逼近的角度论述了数值积分与全局最优化的关系,随后从微积分的基本原理和定积分的定义出发对该类算法的几何意义和数学基础作了简要论述;在此基础上给出了该类算法的几个具体实现。

Based on the shortest path problem and classical absolute center model, an algorithm of absolute center problem is discussed, by using the least distance matrix and the optimum path matrix.

在最短路算法和传统的绝对中心点模型的基础上介绍了一种利用最小距离矩阵和最优路径矩阵求取绝对中心点的算法。

The problem of the equipment is that the calculation results appear distortion when angle is near to 45°.

论文在深入研究现有算法存在问题的基础上,采用了一种广泛用于刚体定位的数学参数算法——四元数法。

A study of the problem's model was made. To this problem, the models of single data transmission task and satellite data transmission task were constructed firstly. Based on these models, the model of this problem was constructed, and the object function and main constraints were analyzed especially. For solving the problem, a heuristic scheduling algorithm named double complex priority algorithm was presented and validated by an example lastly.

首先建立了单数传任务模型及卫星数传任务模型;然后在此基础上建立了问题的约束满足优化模型,重点分析了问题的目标函数及主要约束条件;为了解决该问题,最后提出了一个基于双综合优先度的启发式调度算法,并通过实例验证了算法的有效性。

In this paper, a DoubleTree++ algorithm based on DoubleTree, is designed and implemented via improving the storage structure of the global stop set.

本文在DoubleTree算法的基础上,通过对全局停止集存放结构的改进,实现了DoubleTree++算法。

This paper proposes one kind of adaptive integration algorithms on basis of DST and DSmt.

文章在DST和DSmT的基础上提出一种将两种融合方法结合使用的融合算法-DST与DSmT自适应融合算法。

By using the character of biorthogonal wavelets,which have dyadic rational filter coefficients,this paper presents a fast multiplierless DWT algorithm,which is very suitable for EZW image coding.

在此基础上,针对具有二进系数的双正交小波滤波器,提出了一种适合零树编码的快速小波变换算法,此算法不但以移位代替了乘法运算,而且与使用原始滤波器系数的变换等效。

Then, it proposes a new improved association rule algorithm based on Eclat. The new algorithm is implemented by vertical data layout, breadth first search, and intersection. It makes use of the efficiency of vertical data layout and intersection.

基于此,提出一种改进的Eclat算法,新算法充分利用了垂直数据表示和交叉计数的高效优势,直接在垂直数据表示的数据集上通过广度优先搜索和交叉计数产生频繁模式。

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This one mode pays close attention to network credence foundation of the businessman very much.

这一模式非常关注商人的网络信用基础。

Cell morphology of bacterial ghost of Pasteurella multocida was observed by scanning electron microscopy and inactivation ratio was estimated by CFU analysi.

扫描电镜观察多杀性巴氏杆菌细菌幽灵和菌落形成单位评价遗传灭活率。

There is no differences of cell proliferation vitality between labeled and unlabeled NSCs.

双标记神经干细胞的增殖、分化活力与未标记神经干细胞相比无改变。