查询词典 combinational algorithm

Finally, conducted the experiment, the results of which indicate this algorithm is not only with similar features to v-SVR, but also its dual problem is very simple, so can be used to design incremental learning algorithm

最后实验表明支持向量机在交通系统中应用的可行性和有效性，并具有广阔的前景。

Best adaptation algorithm is a dynamic memory allocation through an algorithm.

最佳适应算法是动态内存分区分配算法的一种。

Finally, the algorithm is validated by an investment example. And the experiment results indicate that our algorithm has better searching ability and can avoid the occurring of earliness effectively. Compared with the traditional GA algorithms, our method converges faster and has better solving precision. To investors, it's a better tool for decision-making.

实验结果表明本文算法不仅具有较强的搜索能力，而且避免了早熟现象的发生，相比于传统的遗传算法具有更高的求解精度和更快的收敛速度，可以为投资者提供更好的决策参考。

Furthermore, the paper researches the current status of production scheduling research and present ant colony algorithm for the Earliness / Tardiness Scheduling with single machine based on the Penalty rule .This paper introduces the process of the algorithm which is realized by software.

本文重点研究企业生产调度的研究现状，并在单机环境下的提前/拖期惩罚规则的基础上，提出了蚁群优化算法解决单机环境下的提前/拖期调度，详细说明了算法的思想思路，并在软件中得到了实现。

They also can be solved in memory. Thirdly, an algorithm for distributed mining association rules with multi-rule constraints called DMCASE is presented using sampling and constrained Eclat algorithm.

论文在基于约束的Eclat类算法的基础上，结合抽样的方法，提出了一种分布式挖掘多种规则约束的关联规则挖掘算法—DMCASE算法。

Then, it proposes a new improved association rule algorithm based on Eclat. The new algorithm is implemented by vertical data layout, breadth first search, and intersection. It makes use of the efficiency of vertical data layout and intersection.

基于此，提出一种改进的Eclat算法，新算法充分利用了垂直数据表示和交叉计数的高效优势，直接在垂直数据表示的数据集上通过广度优先搜索和交叉计数产生频繁模式。

At each database sites, sampling algorithm and constrained Eclat algorithm are implemented. And the local frequent itemsets satisfying constraints are developed. They then are combined to global frequent itemsets that satisfying constraints based on learning from induction.

算法在各数据站点上对一个较小的样本采用基于约束的Eclat类算法挖掘局部约束频繁项集，用归纳学习的方法归并所有局部约束频繁项集产生全局约束频繁项集。

According to the organization unit and role based resource modeling, we put forward a corresponding resource allocation strategy, i. e. EDD and workload based resource allocation strategy. In the paper we also give the workload based resource selection algorithm, EDD and workload based deadlock detection algorithm, and unlocking method.

根据资源的基于角色和组织单元的建模方法，我们提出了相应的资源分配策略，采用基于EDD和工作量的资源分配策略，并提出了基于工作量的资源选择算法、基于EDD和工作量的死锁检测算法和解锁方法。

Lastly,the improved genetic algorithm is successfully applied to a commerce Web server log mining and the experiment results indicate that the proposed algorithm is an effective method to avoid early convergence.

实验证明，这种改进的遗传算法能够有效避免早熟收敛现象，是一种有效的方法。

Numerical experiments show that the new algorithm is more effective in realizing the high convergence speed, convergence precision, reducing the convergence algebra and good at keeping the stability of the adaptive genetic algorithm.

数值实验表明：新算法在提高收敛速度和收敛精度、减少收敛代数方面效果显著，稳定性也有所提高。

The studies on the developing of new media are very important to the increasing of the area density of HDD and to the implementation of hybrid recoding technology.

光磁混合记录方法，是一种可以突破超顺磁极限的限制，并进一步提高硬盘记录密度和读写速率的一种新型超高密度信息存储方式。

In io, mTOR inhibition promotes T cell anergy under conditions that would normally induce priming.

体内研究中，在正常可激发免疫反应的条件下，抑制mTOR可促使T细胞无能。