regression techniques造句
例句与造句
- The determinants and productivity growth are analyzed by using regression techniques for limited dependent variable models with random effects
然后，运用虚拟因变量方法分析影响全要素生产率变化的具体因素。 - The safe selective regression technique not only guarantees the quality of the project but also reduces the cost and the regression test suite
该技术在保证软件质量的基础上有效地降低了测试花销，减小了回归测试用例集的规模。 - This paper discusses the modem regression techniques used for ordinal data analysis and how to apply them into solving an important sampling problem in consumer confidence index survey
摘要本文讨论了对定序变量进行回归的技术，并探讨了如何用其解决消费者信心指数调查中抽样的重要问题。 - Then it gives some advices about raising the tfp . the dissertation ' s main contribution lies in using malmquist - dea method and regression techniques for limited dependent variable models with random effects
本论文的主要贡献在于把扩展的malmqust dea方法引入交通运输业并运用虚拟因变量回归模型考察全要素生产率变化的影响因素。 - At the same time , the method of creating the test cases of the multilayer functional model is also mentioned . the characteristics and disadvantages of some regression testing techniques are discussed , on which we bring out the safe selective regression technique
在分析并讨论了现有软件回归测试技术特点和存在的问题的基础上，提出了基于多层次功能模型的安全选择回归测试技术。 - It's difficult to find regression techniques in a sentence. 用regression techniques造句挺难的
- The safe selective regression technique based on multilayer functional model was carried out in the project of the china union pay system integration te - sting - the switch subsystem functional testing . it is indicated that the technique is flexible , effective and practicable
最后本文结合中国银联信息处理中心系统集成测试-转接子系统功能测试测试实例，说明该技术是一项灵活有效并且十分实用的回归测试技术。 - Global motion can be modeled by a few parameters will be stated in chapter 2 . in chapter two are given the system structure and key technologies of global estimation and compensation , describing several possible details of each key technology . global motion parameters estimated using regression technique which first estimate the local motion and then uses the local information to find the global motion that minimize the least square error
并重点研究了一种基于回归分析的图像全局运动估计与补偿技术,它首先利用光流场法估计局部图像背景点的速度场,然后利用鲁棒的叠代排除法估计图像传感器的全局运动模型参数,再利用估计出来的全局运动参数对图像进行双线性内插运动补偿。 - Today , the third party of software testing is taking part in testing process . as the functional testing is very important for the third part of software testing , and the test for relationship between operations has attached importance , it is practical to investigate the regression technique based on function and operation specifications
现阶段，软件测试第三方逐渐介入到软件测试过程中，功能测试是其中一项重要内容，而且对业务流程间联系的测试渐渐受到重视，所以基于功能的、同时考虑业务需求的回归测试技术研究具有重要的现实意义。 - Up to now , there are many software regression testing techniques , such as retest all regression technique , random select regression technique , minimization regression technique , data flow regression technique , safe regression technique etc . . however , all these techniques are code - based
到目前为止，已经有很多软件回归测试技术，其中具有代表性的几种技术是全部回归测试技术，随机选择回归测试技术，最小化回归测试技术，数据流回归测试技术，安全回归测试技术等。 - Evidence suggests that the prognostic ability of the new model with high stability , when hidden nodes changing nearby input nodes and training times changing at the certain extent , is significantly better than traditional step wise regression model mainly due to the new model condensing the more forecasting information , properly utilizing the ability of ann self - adaptive learning and nonlinear mapping . but the linear regression technique only selects several predictors by the f value , many predictors information with high relative coefficients is not included . so the new model proposed in this paper is effective and is of a very good prospect in the atmospheric sciences fields
进一步深入分析研究发现，本文提出的这种基于主成分的神经网络预报模型，预报精度明显高于传统的逐步回归方法，其主要原因是这种新的预报模型集中了众多预报因子的预报信息，并有效地利用了人工神经网络方法的自组织和自适应的非线性映射能力；而传统的逐步回归方法是一种线性方法，并且逐步回归方法只是根据f值大小从众多预报因子中选取几个预报因子，其余预报因子的预报信息被舍弃。 - In the second chapter , we analyze how to determine a software project team ’ s size . in view of the present theories that have not been able to quantitatively analyze the software project team ' s scale question ; we use regression technique to analyze the factors that affect team scale dependent on the connected statistical data through the econometric method and give a quantitative method which determines the size of a software project team
在第二章中,我们主要是针对软件项目团队构建流程中的如何确定软件项目团队规模的问题进行了分析,针对现在对软件项目团队规模的研究未能定量化的问题,我们在统计相关数据的基础上,通过回归分析的方法,对影响软件项目团队规模的因素进行了分析,给出了一种量化的团队规模的方法。 - Firstly , the multilayer functional model was established which was based on the operation flows and then the test cases were created and performed . secondly , the safe regression technique was used to analyze the testing . finally , the modification - based regression technique or the cost - based regression technique was taken according to the time and the finance of the project
该技术首先依据业务流程建立多层次功能模型以及在该模型基础上生成测试用例和执行测试，之后在已经建立的多层次功能模型基础上进行安全回归测试分析，其次根据测试时间和资金的限制进行基于变更的回归测试分析或基于代价分析的回归测试分析。 - Presents the neural network based prediction of software faults in integrated navigation system including the prediction of number of faults by a single layer of network only to reduce training time , and a new static reliability model suitable for prediction of quality and quality fit depending upon complexity of software , and the comparison with the traditional regression technique which shows that the prediction with a single hidden layer neural network achieves better quality than that with the traditional statistic model , and concludes that the neural network technique has better quality fit and prediction capability when it is applied to the data for a large - scale integrated navigation system and it provides a good managemant tool for software engineering
在早期的软件开发寿命周期里，软件的质量模型包含确定有缺陷的模块和预测错误数.在大规模组合导航软件系统中，质量控制的主要任务就是要精确地估测程序模块中存在的缺陷数.本文给出了用神经网络技术估测程序中的缺陷数的方法，预测缺陷数一般用单隐层网络就可以，因为多隐层网络将相应占用更多的训练时间.本文还介绍了一种新的静态可靠性模型，根据软件复杂度，估测了质量及质量拟合度，并且与传统回归技术进行了比较，仅用单隐层神经网络模型就比传统的统计模型预测质量好.当应用于一批大型组合导航软件系统的数据时，神经网络技术表明，它的确有更好的质量拟合度和估测能力，它给软件工程提供一个好的管理工具 - A lot of data of elevation in different places of the shallow water of n antong were obtained by fish - exploring machine and gps determining and tide cor recting . an image which reflects landforms of nantong was obtained by selecting f rom the many noaa images on different channels and in different phases . based on the image , grey scales corresponding to different places were obtained . by using c la ssifying liner regression technique , liner regression equations were established between the elevation and grey scale , and the threshold values of grey scales of the different elevations were determined . according to the threshold values , the a reas of the tidal zone above different elevations of the shallow water of nanton g were estimated
通过利用gps及渔探器实测，并进行潮位订正，获得南通浅海海域大量测点的高程资料；通过对多时相各通道noaa卫星照片进行筛选，挑选能反映浅海地貌的通道资料，从中读取各测点相对应的灰度值，在此基础上利用分级线性回归，建立不同高程范围内的高程、灰度线性回归方程，确定不同高程的灰度阈值，从而测量出南通市浅海海域不同高程以上的潮间带面积、分布。