增量算法是提高学习效率的一个重要算法之一。
Incremental algorithm is one of the major algorithms for raising learning efficiency.
本文主要研究基于粗集的增量算法的数据挖掘系统。
This paper research a data mining system based on incremental updating algorithms of rough set theory.
本数据挖掘系统使用增量算法发现关联规则和提取决策规则。
The data mining system can discover association rules and decision rules.
当网络发生动态变化时，启动文中提出的增量算法来更新网络。
This paper proposes an incremental algorithm for the new reduction model.
同时针对双事件时态关联规则挖掘提出一个增量算法，并给出了实验结果。
To mine temporal association rules in two events, we propose a new increment algorithm. Moreover, their experiment results are given.
第二款控制器是在使用传统电量增量算法的基础上提出了一种新算法：二阶电导增量比较法。
For the second controller, this paper proposes a new algorithm - two-order incremental Conductance Comparative method, which is based on the use of traditional electricity incremental algorithm.
该控制系统以PLC为核心，并结合脉冲燃烧技术和PID增量算法，实现了对炉内各个参数的稳定控制。
This system centers on PLC, and integrates the pulse-burning technology with PID incremental algorithm to implement control each parameter in the box stably.
在非增量算法的基础上，提出了用最优控制变分原理来形成非增量迭代求解的基本思路，并给出了求解的基本控制方程。
Some basic concepts and the essential control equations of non incremental algorithm based on the optimal control variational principle in mechanics are presented in this paper.
然后，通过对asrai算法的介绍与分析，举出asrai算法的反例，提出增量算法1以用于克服asrai算法存在的缺点。
Then, after the introduction and analysis of algorithm ASRAI we show a counterexample of this algorithm and present a revised algorithm CHEN1 to eliminate the disadvantage of algorithm ASRAI.
针对负荷预测过程中样本数据是滚动更新的特点，在RAPHF的基础上提出了具有动态挖掘能力的粗糙集增量算法raphf - I。
On the basis of RAPHF, a rough set incremental algorithm with dynamic mining ability, namely, RAPHF-I is proposed by considering the updating samples.
首先对给定的数据流图进行单电压高层次综合，然后对单电压综合结果迭代地进行多电压调整；提取每次迭代时需要调整的网络流子图，对该子图运行最小费用最大流增量算法。
The network flow sub-graph needed to adjust is extracted from the previous network flow graph and the min-cost max-flow augmentation algorithm is run on it.
Train算法是JDK用于增量收集的算法，它在堆中老的代和年轻的代之间创建一个新区域。
The algorithm used by the JDK for incremental collection, the Train algorithm, creates a new section of the heap between the old and young generations.
该算法通过在增量学习中逐步积累样本的空间分布知识，使得对样本进行有选择地遗忘成为可能。
This algorithm accumulates distribution knowledge of the training sample while the incremental training is proceeded, and thus makes it possible to discard samples optimally.
为了保证非线性代数方程组求解的收敛性和稳定性，该文根据微梁的受力特点提出了一种增量迭代的算法。
In order to guarantee the convergence and stability in solving nonlinear algebraic equations, an incremental iterative algorithm was put forward according to the load characteristic.
时间分割是典型的数据采样插补算法，它较之脉冲增量插补法有一系列优点。
Segmentation is a typical data sampling time interpolation algorithm, it has a number of advantages compared with pulse incremental interpolation method.
给出了使用多支持向量机进行增量学习的算法。
An incremental learning algorithm using multiple support vector machines (SVMs) is proposed.
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.
论文还另外针对相关项目的研究，讨论了一种简化的增量式PID算法，并很好的应用在该相关项目中。
In the research of relative projects, the simplified incremental PID algorithm is discussed, and it is well applied to the relative projects.
在分析圆锥误差补偿通式的基础上，提出了利用角速率求取角增量的拟合算法，并给出了该算法的数学证明。
Based on the analysis of the general expression of coning compensation algorithms, a method which USES Angle rate to fit the Angle increment was put forward and verified.
本文对数据成时间序列的动态决策表，用增量式算法提取决策表的规则模型。
In this paper, we extract rules of the decision table by an incremental algorithm for the dynamic decision table of the time series data.
提出了一种改进的基于KKT条件的增量学习算法。
Presents an improved incremental learning algorithm based on KKT conditions.
但是，以前的增量更新算法在无线带宽急剧下降的情况下，会引起数据更新的效率下降或无法完成任务。
But previous incremental update algorithms may be inefficient or cannot accomplish data update tasks when the wireless bandwidth drops dramatically.
基于边界表示的变动基元集的增量传输算法，极大地减小了数据的传输量，保证了协同模型的实时同步性。
The incremental transmission algorithm of B-rep-based changed primitives is presented in this paper, reduces the model data requiring to be transmitted as far as possible, and guarantee the real-ti.
本文提出了一个基于模式分解树，不需要扫描原数据库的增量挖掘算法。
The paper presents an algorithm for incremental mining which is based on pattern decomposing tree and has no need for scanning old data base.
提出了一种快速、增量式的学习算法。
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。
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.
介绍了增量式PID算法的具体程序设计，以及参数的整定方法和测试结果分析。
It introduced the program of the increasing type PID algorithm, and parameter installation method and testing result analysis.
针对纯时延和有约束的情况，应用目标规划作为优化策略，提出了一种增量型模型算法控制策略。
For the situation with dead time and constraints, a control strategy of increment model algorithm was developed using goal programming as optimal strategy.
在此基础上提出相应的对每一个决策类建立决策矩阵的增量式挖掘算法，最后利用算例验证了算法的合理性和有效性。
After that incremental data mining algorithm of establishing decision matrix to each of decision type is put forward and the characteristic of rationality and validity are examined by example.
利用椭圆的参数方程，给出了以等分角度为增量的绘椭圆的一种算法，并分析了算法的误差。
This paper makes use of the elliptical parameter equation, present a generation algorithm of ellipse with division Angle increments, and makes error analysis.
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