It also helps in generation of data migration maps, to perform dependency analysis and also helps in optimization of target system data model.
还有助于生成数据迁移映射，以执行依赖性分析，而且还有助于优化目标系统数据模型。
The result will offer reference data for design of involute gear and optimization of parameter choice, and offer new mathematical model for numerical analysis of root stress.
其计算结果将为渐开线齿轮设计、参数优化选择等提供参考数据，同时为齿根应力数值分析提供了新的数学模型。
This paper mainly analyzes the structure, data access model and stored procedure, and studies the performance optimization on ADO. NET. Other ways to benefit performance also studied in this paper.
NET组件结构入手，通过分析数据访问模式及存储过程等实际问题，研究提高数据访问性能的方法，并提出若干优化性能的方法。
A general enterprise resource optimization model based on SCU was a core module of the system. The model construction was driven by data and graphic presentation of the system.
一个基于供应链单元的、由数据和图形驱动的通用企业资源优化模型是新系统的核心模块。
There are also some new key techniques for the system here, such as data model, query language model, routing policy, query processing, optimization strategy, and bidirectional delivery mechanism.
给出了系统中的关键技术，包括数据模型、查询语言模型、路由策略、查询处理及优化策略，以及双向递交机制。
Then, using curve fitting and optimization method, the linear model, hysteresis model and variable linear model of pressure-torque relations are developed based on test data.
其次，在获得大量试验数据的基础上，运用曲线拟合和优化技术，建立制动压力-力矩关系的线性模型、迟滞模型和可变线性模型。
For satellite data transmission scheduling problem (SDTSP) restrained with time Windows and resources, ant colony optimization algorithm based on solution construction graph model is proposed.
针对具有时间窗口和数传资源限制卫星数传调度问题，提出了基于解构造图模型的蚁群优化算法。
In this paper, the new model, data compression, algorithms for several aspects of optimization are proposed.
该文从模型建立、数据压缩、算法等方面研究了几种优化方法。
In this article, a mathematical model for data processing was established to reduce the complication in processing the data of parallelism error according to the requirements of optimization method.
针对平行度误差数据处理繁琐的问题，按最优化计算方法的要求，建立了数据处理的数学模型。
A new pressure and saturation change nonlinear inversion method is proposed using time-lapse seismic data, which is based on hybrid optimization method and rock-physics model.
在现有研究基础上提出基于岩石物理模型和混合优化算法的时移地震反演压力、饱和度变化方法。
When the condition changes, fitting degree of observed data and prediction accuracy of the model are enhanced through rolling optimization and modifying model parameters.
在工艺状况发生改变时，通过对模型的滚动优化，修正模型参数，来提高模型对实时观测数据的拟合程度和预测的准确性。
Data envelopment analysis (DEA) and its non-linear model are introduced, and chaos optimization algorithm is used to find the non-linear model.
介绍了数据包络分析方法及其非线性模型，并提出了混沌优化求解算法。
According to red tide monitoring data from Tongan Bay, we carried out the Quadratic Knapsack model optimization for monitoring stations.
根据同安湾赤潮监测资料，对监测站位进行二次背包模型优化。
Taking the 1975-2006 National passenger traffic data and other related indicators as a learning sample, then verify the validity of the training model after Parameter Optimization.
把1975到2006年全国的客运量数据和其他相关指标作为学习样本，验证寻优参数得到训练模型预测结果的可靠性。
The optimization model and the solution algorithm have been successfully applied in the daily operation of remote sensing satellite data receiving stations.
该优化调度模型及求解算法已成功运用于遥感卫星数据接收站的日常运行工作中。
An optimization method for reasoning results is presented, such as recursive grey fitting model for single sequence and attribute correlativity model for multi-dimension data.
分别在单序列时建立递进灰拟合模型，在多维数据集时利用属性相关性，对插值结果进行学习优化。
NRTL model was used to correlate and calculate LLE data of system and model 's parameters were obtained by using of simplex optimization method with objective function of mole fraction.
用单纯形优化法，选用摩尔分数目标函数求出了相应的模型参数。
The model enables primary selection from as many techniques as possible even when the data is not sufficient, which saves great manpower, materials and time for subsequent optimization.
应用本模型可以在各种资料不是很详尽的情况下，简单合理地对尽可能多的技术进行初选，为后续的优选节省大量的人力、物力和时间。
It is shown that the prediction precision of BP neural networks can be improved greatly according to many on-line data and the optimization model can be adapted to...
通过对大量在线数据分析得出，这种方法对中厚板板凸度的预报精度有很大改善，能适应不断变化的工艺过程和设备条件。
It is shown that the prediction precision of BP neural networks can be improved greatly according to many on-line data and the optimization model can be adapted to v...
通过大量在线数据分析，可知这种方法对中厚板板凸度的预报精度有很大改善，能适应不断变化的工艺过程和设备条件。
It is shown that the prediction precision of BP neural networks can be improved greatly according to many on-line data and the optimization model can be adapted to v...
通过大量在线数据分析，可知这种方法对中厚板板凸度的预报精度有很大改善，能适应不断变化的工艺过程和设备条件。
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