Again it should be noted that this algorithm was designed as a teaching aid and further refinement is needed it can be used in a production setting.
再次强调这个算法是为了教学目的而设计的，如果要将其运用于产品的构建上那么它还需要进行更多的改进。
Setting open-circuit frequency and voltage algorithm for steady-state control power flow .
稳态控制潮流的设定空载频率及空载电压算法。
In order to extend common incremental learning algorithms into a parallel computation setting, an incremental learning algorithm with multiple support vector machine classifiers is proposed.
为了将一般增量学习算法扩展到并行计算环境中，提出一种基于多支持向量机分类器的增量学习算法。
This algorithm and ideas have preferable utility value in three zone setting computation of protections in electric power system.
此算法和思想在电力系统三段式保护的整定计算中具有较高的实用价值。
But there are still some problems on real-valued negative selection algorithm, such as needing large amounts of time in generating detectors and setting the position of detectors.
但是实值负选择算法仍然存在着一些问题，比如：产生检测器和设置检测器位置需要消耗大量的时间。
In this paper, a digital cascade system setting parameters computer algorithm based on the enlarge frequency method is given.
给出了一个以扩充频率法为基础的数字串级系统参数整定的计算机算法。
In order to reduce inconvenience of setting threshold value in watermark algorithm, the amount of calculation is reduced to extracting watermark.
为了减少水印算法中设置阈值带来的不便，减少水印提取时的计算量。
A kind of PID controller with fuzzy algorithm setting on-line PID parameters automatically was designed and applied in brushless DC motor speed control system.
通过设计一种模糊pid控制器，应用模糊算法在线自动整定PID参数的方法，将其应用于无刷直流电动机调速控制系统。
The parameter setting for Random Early Detection(RED) queue management algorithm depends on the user's experience and its related theoretical guidance exists some defects at present.
随机早期检测（RED）队列管理算法的参数设置主要依赖于使用者的经验，并且其相关理论指导存在一定缺陷。
Reasonably setting the threshold value, SIFT algorithm can handle the technical problems such as cutting the object from its background.
合理设置SIFT算法的阈值还可以有效处理物体背景分割等技术问题。
Such a setting balances the breadth and depth of the algorithm, which made the algorithm to be converged to global optimal solutions.
不同类型的种群分别担负着广度与深度的搜索任务，以便算法能够收敛到高精度的全局最优解。
The Thesis analyses many kinds of Algorithm about Bayesian network structure learning, and then Setting-up a new Algorithm about structure learning Foundation on hydro-electrical simulation system.
本文在分析了多种贝叶斯网络结构学习算法的基础上，并且根据水电仿真的应用背景，提出了一种根据多专家提供的规则库进行贝叶斯网络结构学习的新算法。
By analyzing the function and significance of parameters, the parameter setting of ACO algorithm can be described as a multifactor and multilevel optimization problem.
通过对蚁群优化算法各操作参数作用与意义的分析，将蚁群优化算法的参数设定描述为一个多因素多水平优化设计问题。
This optimization algorithm can be used for numerical designs of monolithic prosthetics and for setting alignment criteria for traditional modular prostheses.
该算法可以用于一体化假肢的数字化设计和传统组件式假肢对线准则的制订。
A new idea for developing the equipment-oriented setting calculation system of relay protection based on "general algorithm mapping principle" is proposed.
提出以通用算法映射原理开发继电保护面向装置整定计算系统开发的新思路。
The second algorithm, depending on setting the threshold controlling tool-axis vector and using solid based on Boolean-operation, realizes unsafe CL-points and Boolean-operation check.
后者通过设置刀轴矢量变化的阈值并采用集合碰撞体，实现了刀位的跳点检查和集合运算检查。
Absrtact: Ant colony algorithm (ACA) is a meta - heuristic algorithm. In general, the setting of the parameters of the ACA is based on experiments.
摘要：蚁群算法作为一种启发式算法，其参数组合一般是通过大量实验取得的。
In this paper, a generating algorithm of optimal arrow-line diagram, an optimizing algorithm of nodes allocation and a setting-out algorithm are given completely.
本文较完整地给出了最优箭线图的生成算法，节点布局优化算法和连线法。
A fuzzy logic reasoning method is used to forecast traffic diversion volume and a fuzzy control algorithm is also applied to design the intersection signal setting of the route.
在实现方法上，应用模糊推理技术对分流交通量进行了预测，并设计了路线交叉口信号灯配时方案调整的模糊控制算法，模拟结果验证了模糊逻辑推理技术的有效性。
Although the traditional K - means algorithm has good convergence rate and can be realized easily, it can easily be trapped in a local optimum, and it is sensitive in initial setting.
传统的K-均值方法用于聚类具有收敛速度快、算法实现简单等特点，但容易陷入局部最优，并对初始解敏感。
Although the traditional K - means algorithm has good convergence rate and can be realized easily, it can easily be trapped in a local optimum, and it is sensitive in initial setting.
传统的K-均值方法用于聚类具有收敛速度快、算法实现简单等特点，但容易陷入局部最优，并对初始解敏感。
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