regression technique meaning in English
回归技术
Examples
- 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。