So the new semi-incremental algorithm is more useful and practical.
所以这个新的不完全增加结构算法较传统算法更可行和实用。
This paper proposes an incremental algorithm for the new reduction model.
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。
Incremental algorithm is one of the major algorithms for raising learning efficiency.
增量算法是提高学习效率的一个重要算法之一。
We presented a new semi-incremental algorithm, which combines with properties of acyclic deterministic fuzzy automata.
所以这个新的不完全增加结构算法较传统算法更可行和实用。
The incremental algorithm is also a good solution to the problem of one-time granular ranking in large-scale databases.
对于数据集规模过大而无法一次性完成粒度排序的问题亦是很好的解决方案。
In Chapter 2, we present a new semi-incremental algorithm, which combined with properties of acyclic deterministic fuzzy automata.
第二章提出了一种新的不完全的增加结构算法，该算法结合了非循环确定模糊自动机的性质。
In this paper, we extract rules of the decision table by an incremental algorithm for the dynamic decision table of the time series data.
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。
The incremental algorithm use a tree structure to organize the set of concept nodes, and decrease the time needed to build concept lattice.
本文的渐进式算法利用一种树状结构来对概念格节点进行索引，从而有效地提高了概念格的构造速度。
An advantage of the incremental algorithm is that it can be used to train SVM model online, which largely extends the application area of SVM.
增量型的支持向量机训练算法的一个重要特点是可以用于实时在线训练支持向量机的模型，这将大大扩展支持向量机的应用范围。
On the basis of RAPHF, a rough set incremental algorithm with dynamic mining ability, namely, RAPHF-I is proposed by considering the updating samples.
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。
This system centers on PLC, and integrates the pulse-burning technology with PID incremental algorithm to implement control each parameter in the box stably.
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。
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.
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。
Finally, incremental algorithm of producing concept lattice is used to carry on concept clustering to the passage of search results, and produced the theme of each cluster result from it.
最后，使用增量式的概念格生成算法对搜索结果片段进行概念聚类，并从中产生每个聚类的主题。
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.
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。
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.
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。
This algorithm accumulates distribution knowledge of the training sample while the incremental training is proceeded, and thus makes it possible to discard samples optimally.
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。
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.
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。
Segmentation is a typical data sampling time interpolation algorithm, it has a number of advantages compared with pulse incremental interpolation method.
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。
At present, the incremental formation algorithm of concept lattice has behaved strong vitality and flexibility.
现在概念格的渐进式构造算法表现出了更强的生命力和适应性。
An incremental learning algorithm using multiple support vector machines (SVMs) is proposed.
给出了使用多支持向量机进行增量学习的算法。
The algorithm combines active learning, biased classification and incremental learning to model the small sample biased learning problem in relevance feedback process.
该算法将主动式学习、有偏分类和增量学习结合起来，对相关反馈过程中的小样本有偏学习问题进行建模。
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 paper firstly introduces the classification of incremental clustering algorithms and the research state, defines the concept of algorithm equivalence.
本文首先介绍了增量聚类算法的分类以及研究现状，提出了增量聚类算法等价性概念；
Presents an improved incremental learning algorithm based on KKT conditions.
提出了一种改进的基于KKT条件的增量学习算法。
The model increment annexation algorithm was devised to annex the incremental model onto primary geometric model at the client to form the modified collaborative CAD model.
设计出增量模型聚合算法，利用该算法将增量模型聚合到客户端原有几何模型上形成修改后的协同CAD模型。
Based on the equivalence between the original training set and the newly added training set, a new algorithm for SVM-based incremental learning was proposed.
基于原训练样本集和新增训练样本集在增量训练中地位等同，提出了一种新的SVM增量学习算法。
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.
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。
A new geometric fast incremental learning algorithm for support vector machines (SVM) was proposed.
提出了一种新的基于壳向量的增量式支持向量机快速学习算法。
A new geometric fast incremental learning algorithm for support vector machines (SVM) was proposed.
提出了一种新的基于壳向量的增量式支持向量机快速学习算法。
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