Your hardware vendor should have benchmark data stating the expected Memory, CPU ( FLOPS), Disk, and Network performance. 硬件厂商应该有基准测试数据,这些数据说明预期的内存、CPU(FLOPS)、磁盘和网络性能。
Although this is a sizing example, IBM sizing tools rely not only on the derived benchmark data, but also on analysis and feedback from both customer and internal production environments. 虽然这是一个分级示例,但IBM分级工具不仅依赖于派生的基准数据,还依赖于来自客户和内部生产环境的分析和反馈。
In this capacity, he defines server performance requirements, monitors market trends, and oversees the delivery of benchmark data. 在这个职位上,他定义服务器性能需求、监控市场趋势并检查基准测试数据的实现。
The database used for this benchmark is defined with10TB of raw data and requires highly efficient disk scanning and table joining algorithms. 用于该基准的数据库必须有10TB的原始数据,并且有高效的磁盘扫描和表连接算法。
A benchmark test with experimental data was conducted to verify and improve the codes used for the seismic analysis of reactor cores. 通过与实验数据进行了基准测试,以验证和改进的反应堆芯抗震分析中使用的代码。
The performance of multifrontal method is evaluated and compared with direct sparse factorization method through load flow calculation and transient stability simulation using IEEE benchmark data. 以IEEE检验系统为例,通过数值试验将多波前算法与电力系统分析中常用的稀疏三角分解技术进行对比分析。
Experiments on benchmark data sets show that our algorithms obtain sparse classifiers at a rather low cost without sacrificing the generalization performance. 在基准数据集上的对比实验表明:本文算法在不牺牲推广性能的前提下,以相当低的计算复杂度获得了稀疏分类器。
Our experiments on benchmark Iris data and real DNA micro-array data ( Yeast data and MIT data) show that the proposed NMF based subspace classifier has a great improvement on separability of the data and the recognition rate of the classifier compared with the PCA based subspace classifier. 将这种方法运用于模式分类中典型的Iris数据和真实的DNA微阵列数据(Yeast数据和MIT数据)的实验结果表明,基于NMF的子空间分类方法可取的很好的分类性能。
The present popular CAD systems can deal with CMM data to some extent, such as: delete noisy points, rebuild symmetrical benchmark, data combination. 目前流行的CAD系统具备一定的数据预处理功能,如:去除明显噪音点、对称基准重建、重定位整合等。
The best decision model relying on the benchmark is expressed by using DEA ( Data Envelope Analysis). 用数据包络分析方法给出了依赖标杆的最佳决策模型。
Based on Benchmark data, a calculation method for relative air humidity using linear insertion method was put forward, through analyzing the relations among humidity, dry-bulb temperature and damp bulb temperature contrast. 通过对湿度查算表湿度、干球温度、干湿球温差数据间关系的分析研究,提出一种根据湿度基准值进行二次线性插值求得湿度测量值的计算方法。
Experimental results based on some artificial and benchmark data sets shows that SVM-RMC reduced the total cost and improved the classification reliability. 试验结果表明:相比于SVM,SVM-RMC减少平均测试代价,提高分类可靠性。
This paper analyses the benchmark observational data of tow periods and tests for benchmark stability based on Matlab. 本文基于Matlab采用单点位移分量法,对两期水准点的观测资料进行分析,检验水准点稳定性。
We mainly studies at the benchmark equilibrium data set and the calibration process. 基准组合研究述评第四章描述了模型的数据特征,包括模型的均衡数据集&社会核算矩阵的编制和模型参数的标定过程。
Experiments on UCI machine learning benchmark data sets show that PCA-bagging has better generalization performance, indicating that even ensemble learning methods with excellent generalization ability also need proper feature preprocessing. 在多个UCI标准数据集上的实验表明PCA-Bagging算法具有更好的性能,这说明即使是泛化能力很强的集成学习方法其学习的数据也需要进行适当的特征变换。
At last, the algorithm is simulated by using AFIT benchmark data, the result shows that the algorithm is feasible. 最后利用AFIT基准数据进行仿真验证,结果表明该算法是可行的。
Three benchmark problems about times series data and correlative data series are firstly used to identify the modeling capabilities of recurrent neural network in comparison with that of feedforward neural network. 首先针对三个不同特点的时序关联数据建模及预测的标准问题,采用不同的建模数据结构,对比性地研究了前向网络与回归神经网络对时序关联数据的建模及预测能力。
As a premise of correct data fusion in the sensor network, data synchronization means that all the data reported by the sensors must be based on a same time benchmark, the data collected time and its order must be consistent with the real case. 传感器网络数据同步是数据融合算法正确运行的前提,具体指网内各节点汇报的数据基于同一时间基准,其采集时间、先后顺序等与真实情况一致。
According to ADS& NEUTRONIC BENCHMARK data and model offered by IAEA, the radiation dose produced by the leakage of the neutrons and the photons in the ADS '( accelerator-driven sub-critical system) proton tube were calculated with the MCNP program. 利用MCNP程序,根据IAEA提供的ADS&NEUTRONICBENCHMARK中的模型和数据,对加速器驱动的次临界系统质子束管中中子和光子泄漏产生的辐射进行了计算。
Historical actuality of ground settlement is explained Using changes of benchmark height data. TESTING FOR BENCHMARK STABILITY BASED ON MATLAB 以水准点高程数据变化说明地面沉降历史现状。利用Matlab检验水准点的稳定性
The ability in detecting web crawler was compared in WEB-CIS and several other web crawler detection system in a benchmark data set. 分析了WEB爬虫检测系统的评价标准,并对WEB-CIS爬虫检测系统进行了实验与测试,比较了WEB-CIS爬虫检测系统与其它几种WEB爬虫检测方法在同一基准数据集上检测WEB爬虫的能力。
Experimental results based on artificial and benchmark data sets shows that CS-SVM reduced the total misclassification cost. 4. 基于虚拟和Benchmark数据集的试验结果表明CS-SVM能有效减小平均测试误分类代价。
· At the algorithm simulation experiment part, the experiment is made on several benchmark data sets, and our algorithm is compared with several state-of-the-art multi-label classification algorithms to justify the efficiency. 在算法的仿真实验部分,在多个测试数据集上进行仿真实验,并与经典的多标签分类算法进行比较,以验证所提出算法的有效性。
The paper conducts experiments on UCI data sets and benchmark data sets and compares with other state-of-the-art graph construction methods. Experimental results validate the effectiveness and superior of ASE algorithm. 本文在UCI数据集和基准数据上进行了实验,并与现有的构建图的算法进行横向比较,实验结果表明ASE算法优于其他构造图的方法。
Experiments based on benchmark data indicate that those two kinds of improved WNN get better performance than traditional WNN. Finally, the dissertation discusses the application of improved WNN in analog circuit fault diagnosis software system. 基于标准数据的比较实验表明:改进后的两种小波神经网络在性能指标上能得到提高。最后,介绍改进小波神经网络模块在模拟电路故障诊断软件系统中的应用。
Experiments on benchmark data sets and cultural relic image sets show that RK_BP algorithm provides better classification results. ( 3) Aiming at the ambiguity problem of MIL in images retrieval, a novel image retrieval algorithm named KP-MIL is presented. 在基准数据集和文物图像集上的实验表明,RKBP算法具良好的分类性能。(3)针对MIL应用于图像检索中的歧义性问题,提出了一种KP-MIL图像检索算法。
The experimental results on data warehouse benchmark data set SSB testify the effectiveness of the proposed method. 在数据仓库基准数据集SSB上的实验结果验证了本文方法的有效性。
By choosing reasonably attribute, the process of Multi-instance Learning become sample. And the experiments on benchmark data sets show that it is effective. 4. 通过合理的属性选择,使得多示例学习过程变得简单,在基准数据下实验证明了算法是有效的。
We benchmark test and benchmark test data analysis, the best fit obtained wallboard material ratio, but found the test block to produce dry density is high, which will cause the high thermal conductivity, it will affect the performance of thermal insulation materials. 我们通过基准试验和对基准实试验数据的分析,得出墙板材料的最佳配合比,但发现制造出的试块干表密度较大,这样就会导致导热系数较大,就会影响到材料的保温隔热性能。
Experimental results on benchmark data sets show that our algorithm is more practicable and efficient than the method of HMM. 通过对标准数据库数据测试,本文算法是可行的、高效的,比HMM方法有更高的准确率。