查询词典 optimization problem

Real-time grasping force optimization is a difficult problem because the friction forces between dextrous robot fingers and an object are nonlinear constrains.

由于机器人灵巧手与物体接触所产生的摩擦力约束为非线性约束，导致实时计算手指抓取力受到了极大的限制。

The results obtained from range analysis and variance analysis show that the channel turning angle is the most important factor affecting the flow index, and the flow rate is seriously influenced by the number of channel units, which facilitates settling the problem of increscent flow rate due to the structural optimization.

流量和流态指数的极差和方差分析结果均显示出流道转角对流态指数的影响最显著，而流道单元数对灌水器流量的影响最大，这一结果有助于解决流道经优化后带来的流量增大问题。

Considering its complex geometric topology, multi states of self-equilibrium stress and modes of inextensional mechanisms, a prestress optimization strategy was proposed to solve the final feasible prestress distribution problem of the structures with multi states of self- equilibrium stress, where the decomposition and assembly method of modal matrix, the theory of structural equilibrium matrix and the singular value decomposition method were utilized.

考虑该结构几何拓扑复杂、多自应力模态与机构位移模态的特点，应用平衡矩阵理论与奇异值分解算法，通过模态矩阵的分解组合方法，给出一种具有一定普遍意义的预应力优化策略，使多自应力模态结构体系的最终可行预应力分布求解得以简便的实现。

To solve the problem of intelligential decision-making on multi-ships collision avoidance in the field of automatic collision avoidance, a multi-layers and multi-objects fuzzy optimization model of main target ship was designed.

为解决船舶避碰自动化领域的多船智能避碰决策问题，建立了多层次多目标重点避让船模糊优选模型。

The evaluation system composed of the generator, test problem base and evaluating tool can well test and evaluate optimization methodic softwares.

将测试问题产生器、考题库和评价工具组成一个测试评价系统，可很好地考核和评价优化方法程序。

Based on nondifferentiable optimization theory, a new neural network approach for solving L〓 norm problem is proposed. With suitable choice of penalty parameter, high—precision solution may be obtained.

基于非光滑函数最优化理论，提出了一种求解L〓范数问题的神经网络方法，罚参数取适当值时，就可获得较高精度的解。

According to this problem, an optimization method is put forward; its accuracy is also verified by practical examples. In this way, the broadband matching of nonreciprocal transmission lines is realized.

进一步提出了优化设计的方法，并通过实例对该优化方法作了进一步验证，实现了非互易传输线的宽带匹配。

In view of this problem,a parameter extremum optimization model is developed,in which such error factors as the decaying DC components,nonsynchronous sampling and harmonics are precisely depicted.A new measuring method based on the hybrid genetic algorithmis developed to use this model for finding accurate power system parameters such as the amplitude,phase,frequency and harmonics.

针对这一问题，建立了电力参数极值优化模型，同时对衰减直流分量、非同步采样及谐波等多个误差参数加以精确表示，利用混合遗传算法对该模型进行求解，可得到准确的系统幅值、相位、频率及谐波等电力参数。

The best theoretical solution to a partitional clustering problem is to find all possible partitions and choose the partition that minimizes the objective function. However, the enumeration of all possible partitions is impractical even for data sets of moderate size. Therefore, as an alternative, most partitional approaches use an iterative optimization technique. And this could be cause local minimum.

本文在分析了目前聚类的基本方法的基础上，指出以K平均法等为代表的分割聚类虽然理论上找到类的所有划分并使得目标函数最小就可以获得最优解，但由于对于相当尺度的数据集列举所有可能的划分并不现实，因而多数分割方法采用迭代优化技术作为变通。

The main contributions of this thesis are as follows:(1)To address the problem of kernel parameterσselection and regulation of the decision boundary in SVDD algorithm,this thesis proposes a new kernel parameter optimization method based on the spheral distribution of samples in kernel space and regulation of the decision boundary method based on KPCA(Kernel Principal Component Analysis).

本论文主要以支持向量数据描述(Support Vector Data Description，SVDD)与随机森林(Random Forests，RF)模式识别工具为基础，对流程工业在线故障诊断的若干问题进行研究，其具体内容如下：(1)针对SVDD的核参数σ优化及其决策边界规整问题，提出了基于核样本球形分布的核参数优化方法与基于核主元分析(Kernel Principal ComponentAnalysis，KPCA)的SVDD决策边界规整方法。

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。