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In the upper bound approach, the velocity of each node are seen as unknown quantity, with the conditions of flow rule, velocity discontinuity, velocity boundary, the energy work equation considered, then the strength safety coefficient of slope, and the corresponding kinematically admissible velocity field are obtained.

在上限法中,以结点速度为未知量,根据单元塑性流动约束条件、速度不连续约束条件、速度边界约束条件,以及由外功功率与内功功率相等条件得到的目标函数,求得了强度储备系数的上限值及相应的机动容许位移场。

Extraction of volatile oil from Ligusticum Chuanxiong was studied in the second section. The experimental results show that 3.7-5.1% extracts can be obtained in temperature ranges from 45 to 65℃and pressures form 30 to 50MPa.

在对中药材川芎单方的药效成分提取的研究中,以收膏率和提取物中阿魏酸的含量为目标函数,研究了单一的超临界CO_2为溶剂的SFE过程中,温度、压力、药材粒度等因素的影响。

In this paper we present the construction of a newoptimization objective function, which combines readout and thermal writing in a magnetooptical recording process.

从磁光读出和热磁写入两者结合的角度提出一个新的优化目标函数

The initial threshold could be chosen by using Otsu algorithm, and in the iteration process, an optimal threshold was determined by maximizing the MI between the original image and the segmented image.The effectiveness of the proposed approach was evaluated by applying it to the microphotographic.

首先利用Otsu算法确定全局阈值作为初值,以互信息量为目标函数,在小范围内计算分割图像与原图像的互信息量,互信息量达到最大时的阈值即为最优值,这是将图像配准方法用于分割的一种创新性尝试。

According to the monotonically increasing match criteria around the location of the optimal motion vector a fast fractional motion estimation algorithm based on the group error is presented.

根据匹配准则的目标函数在最优运动矢量的附近都是单调递增这一假设,提出一种基于分组误差的快速分数像素运动估计算法。

The objective function of the combination optimization problem is set and an improved mutative scale chaos optimization algorithm is employed to search global optimal value. Thereby the optimal parameters combination are obtained.

对组合优化问题建立目标函数,采用一种改进的变尺度混沌优化算法来搜索全局最优值,从而得到最优的参数组合。

To cope with highly nonlinear, nondifferentiable and multi-peak objective function, evolutionary algorithms which have the advantage of global solution searching can overcome the drawbacks of conventional algorithms such as slow speed, relatively poor precision and convergence to local solutions.

针对微波领域中优化问题的目标函数的高度非线性、不可导、多极值等特点,利用演化算法的全局搜索特性,可以避免确定性优化方法收敛速度慢、精度低、易于收敛到局部极小值的缺点。

In order to study these algorithms systematically and deeply, they are reviewed in this paper based on c-means algorithm, from metrics, entropy, and constraints on membership function or cluster centers. Moreover, the advantages and disadvantages of the typical fuzzy partitional algorithms are discussed.

为了能更为系统和深入地了解这些聚类算法及其性质,本文从改变度量方式、改变约束条件、在目标函数中引入熵以及考虑对聚类中心进行约束等几个方面,对在C-均值算法的基础上得到的基于划分的模糊聚类算法作了综述和评价,对各典型算法的优缺点进行了实验比较分析。

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 controlstructure adopted is easy to realize in practice, and the objective functions aredefined to refect the integrated demands respectively according tocharacteristics of each system.

针对各个系统的特点,分别采用适合工程实现的控制器结构,定义反映控制系统综合要求的目标函数,进行控制参数的优化。

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