在这个算法中，处理缓冲区的次序是很不确定的。
In this algorithm, the order in which buffers get processed is much less deterministic.
Bing同时会把一些推荐的用户标注为“有影响力的”，另外一些(特别是明星)标注为“流行的”，虽然还不确定这一特性是否是基于某种算法。
While it is not clear if this is a curated feature or based on an algorithm, Bing will also mark some of the users it recommends as "influential" and others (especially celebrities) as "popular."
我们如何设计控制算法来解决灵巧操作中存在的不确定性？
How do we design control algorithms for dexterous manipulation in the presence of uncertainty?
实验结果表明，该算法能有效地解决知识的不确定性问题。
The experiment results indicate that the algorithm can resolve the uncertain knowledge problems effectively.
实际油藏构造和流动机理的模糊性和不确定性，使得传统的模型和算法无法或者很难描述和求解。
The ambiguity and uncertainty of reservoir actual structure and fluid flow mechanics make it difficult for conventional modeling and algorithms to describe and solve.
并给出不确定规划的混合智能算法。
And provide the intelligent algorithm of the uncertain program is given aswell.
对于线性系统，本文针对其系统矩阵a存在一类不确定性扰动的情况，提出了一种基于遗传算法(GA)的新的参数估计方法。
This paper proposed a new method for parameter estimation based on genetic algorithms (GA) for linear systems in the case of its coefficient matrix with uncertain disturbance.
针对一类不确定非线性受扰动系统，提出一种基于非线性迭代滑模变结构的增量反馈控制算法。
An increment feedback control method based on nonlinear iterative sliding mode variable structure control is presented for a class of uncertain nonlinear perturbed system.
基于结构抗力和荷载效应的不确定性，提出了一种既有结构工程可靠度的模糊算法。
This paper shows a fuzzy arithmetic for existing structural reliability, based on the unascertainty of structural resistance and load effects.
本文在信息的不确定性基础上提出了可拓信息的度量和可拓信息空间化简算法。
In this paper, we put forward extension information content and an algorithm for simplifying the extensive information space.
在一类不确定推理模型中，可以用这类弱t -范数的性质来解释其平行传播算法所具有的直观特征。
The properties of the weak Tnorm can be used to interpret intuition features of parallel propagation algorithm in the kind of uncertainty reasoning models.
文章给出在不确定的荷载需求下机组组合问题的一些常见的随机规划模型和算法的综述。
In this paper we give a survey of several stochastic programming models and algorithms for unit commitment problem under uncertainty load demands.
控制系统的硬件采用了DSP芯片，以保证系统的实时性；软件采用了模糊-神经网络算法，以克服系统模型的不确定性。
DSP chip is applied in hardware design to ensure real-time performance of control system, and fuzzy-neural network algorithm is adopted to overcome uncertainness of control model.
将学习理论与鲁棒控制相结合，采用随机化算法针对实参数不确定系统讨论了鲁棒控制器的设计问题。
This paper combines learning theory with robust control and discusses robust control design problems involving real parameter uncertainty in control systems based on randomized algorithms.
之后利用融合了极大代数运算的不确定性并行推理算法，确保较准确地推断出结果。
Then, by using uncertainty-reasoning algorithm, which adopts max-algebra method, result can be calculated with comparative accurate.
实验结果表明D- S决策树分类算法能有效的对不确定数据进行分类。
This D-S decision tree is a new classification method adapted to the uncertain data.
本文简要介绍不确定规划理论、算法以及应用研究的现状，描绘了不确定规划理论的基本框架。
This paper provides a brief up-to-date presentation of uncertain programming theory, algorithm and application.
本文提出了在不确定的环境中，移动机器人的一种全局路径规划算法。
This paper presents a global path-planning algorithm of mobile robot under uncertain environment.
然后研究了对应于此类非线性不确定系统的鲁棒滤波算法，得到了该滤波问题的充分解。
Then the robust filter problem for this system is studied, and a sufficient solution is designed.
本文在介绍求解复杂组合优化问题而提出的蚁群算法的基础上，提出一种基于连续不确定区域的蚁群算法。
A new sequential uncertainty domain method called SUACO is presented on the basis of ant colony optimization, which is adapted to solve complex combination optimization problems.
同时，给出了证据不确定性的表示形式、组合证据不确定性算法，以及证据不确定性的传递算法。
At the same time, the express form of uncertainty evidence, combination evidence uncertainty algorithm as well as evidence uncertainty transmission algorithm is given.
输电线路故障受到许多不确定性因素影响，传统测距算法不能很好地解决输电线路测距问题。
As affected by many uncertain factors of transmission lines, conventional fault locating methods can't locate the faults of transmission lines very well.
实际应用结果表明，这种算法适合于一类不确定过程的动态跟踪控制。
Practical applied results show that the scheme suits to the dynamic following control of the uncertain processes.
关联规则分类器(CBA)利用关联规则来构造分类算法，但其没有考虑分类问题中的不确定性。
Classification based on association (CBA) algorithm built a classifier based on the association rules, without considering the uncertainty in the classification problem.
首先采用了一种递归的估计条件众数算法来产生一组使得系统不稳定或性能不可接受的不确定参数向量样本。
First, a recursive algorithm estimating conditional mode was employed to generate a set of uncertain parameter vector samples which lead to instability or unacceptable performance of systems.
针对货物拣选时间的不确定性和旋转货架控制灵活的特点，给出了拣选作业的动态优化算法。
According to the uncertainty of picking time and control agility of automated warehouse, we give the dynamic optimal algorithm of order-picking work.
总结和归纳了计及不确定因素的电网灵活规划方法，并对各种优化求解算法进行了综述。
The methods of transmission network flexible planning considering the uncertainties are summarized and concluded, and kinds of the optimization algorithm are reviewed.
当系统矩阵和观测矩阵都存在不确定误差时，该鲁棒保性能滤波算法能保证系统的滤波误差有界。
It turns out that the robust filter can guarantee a bounded variance of filtering errors, when the system matrix and measure matrix exist uncertainties.
当系统矩阵和观测矩阵都存在不确定误差时，该鲁棒保性能滤波算法能保证系统的滤波误差有界。
It turns out that the robust filter can guarantee a bounded variance of filtering errors, when the system matrix and measure matrix exist uncertainties.
应用推荐