逐步回归方程,Stepwise regression equation
1)Stepwise regression equation逐步回归方程
1.Stepwise regression equation in each month is established based on the relationship between evaporation and meteorological elements,which is an objective forecast method of evaporation.探讨蒸发量与气象要素之间的关系,分月建立了逐步回归方程,经检验可作为蒸发量的一种客观预报方法。
2)stepwise regression method逐步回归方法
1.Based on the capacitance distributions from 12-electrod capacitance sensor,usingstepwise regression method,the capacitance relation of oil-gas two phase flow based on flow pattern is developed.基于12电极阵列电容传感器提供的电容测量信息,采用逐步回归方法,获得了与流型相关的电容关联式。
2.Based on D-S evidence theory andstepwise regression method,combining the power spectrum density function characteristics of differential pressure fluctuation signals and capacitance information from capacitance sensor,a new flow pattern identification method of oil-gas two phase flow was proposed.基于D-S证据理论和逐步回归方法,结合直管段差压波动信号的功率谱密度分布特征和电容传感器提供的电容信息,给出了一种油气两相流流型辨识的数据融合方法。
英文短句/例句
1.Stepwise regression method for predicting gas emission from coal faces采煤工作面瓦斯涌出量预测逐步回归方法
2.Using the method of step by step regression to forecast the degree of the armywarm break--out in Kazuo County用逐步回归方法预测喀左县三代粘虫发生程度的初步研究
3.The model used multiple stepwise regression method and back propagation method independently.模型分别采用多元逐步回归方法和反向传播方法。
4.Based on the Gradually Regression Analysis Method to Analysis the Backwardness of Gansu Province Investment Environment;基于逐步回归方法对甘肃省投资环境落后的原因分析
5.Identification of the Cooperation Patterns among Transcription Factors in Gene Expression Regulation by the Multiple Stepwise Regression Analysis用多元逐步回归方法解析转录因子在基因表达调控中的作用
6.Stepwise Regression Method for Seepage Monitoring Data Analysis of Earth-rock Dams土石坝渗流监测资料分析的逐步回归分析方法
7.PM_(10) Concentration Forecast Model Based on Stepwise Regression Analysis基于逐步回归分析方法的PM_(10)浓度预报模型
8.Study on Forecasting Methods of Corn Heat Index in Northeastern China(Ⅱ)--Stepwise Regression Model东北玉米热量指数预测方法研究(Ⅱ)——逐步回归预测方法
9.in-and-out stepwise method分批进入和退出的逐步回归法
10.The Empirical Research on IPO Dynamic Pricing Model Based on Stepwise Regression Analysis基于逐步回归法的IPO动态定价模型及实证研究
11.A Stepwise Regression--Autoregression Mathematical Model of Multiple Dependent Variables for Predication the Preperties of Water in X lakeX湖水质预测的多因变量逐步回归——自回归模型
12."Quasi-stepwise regression" variable selection and its application in rural resident revenue forecast;“类逐步回归”变量筛选法及其在农村居民收入预测中的应用
13.Research of Model of the Evaluation for Teaching Quality Base on Stepwise;基于逐步回归分析算法教师教学质量评估模型的研究
14.Study on the effect on welding seams by the welding parameters of laser hybrid welding process based on the stepwise regression基于逐步回归法研究激光复合焊接工艺参数对焊缝的影响
15.Estimating the Weight of Chinese Simmental by Using Stepwise Regression应用逐步回归法估测中国西门塔尔牛体重的研究
16.Strength of recycled concrete based on the uniform test and stepwise method基于均匀试验和逐步回归法的再生混凝土强度研究
17.Analysis of Fire Control System Pricision Based on Error Transfer and Stepwise Regression Method基于误差传递和逐步回归法的火控系统精度分析
18.Prediction for Product Distribution of Delayed-Coking Process by Stepwise Regression Model用延迟焦化逐步回归法模型预测焦化产物的分布
相关短句/例句
stepwise regression method逐步回归方法
1.Based on the capacitance distributions from 12-electrod capacitance sensor,usingstepwise regression method,the capacitance relation of oil-gas two phase flow based on flow pattern is developed.基于12电极阵列电容传感器提供的电容测量信息,采用逐步回归方法,获得了与流型相关的电容关联式。
2.Based on D-S evidence theory andstepwise regression method,combining the power spectrum density function characteristics of differential pressure fluctuation signals and capacitance information from capacitance sensor,a new flow pattern identification method of oil-gas two phase flow was proposed.基于D-S证据理论和逐步回归方法,结合直管段差压波动信号的功率谱密度分布特征和电容传感器提供的电容信息,给出了一种油气两相流流型辨识的数据融合方法。
3)stepwise regression逐步回归
1.Influence relationship between clothing structure designing math model positions instepwise regression;逐步回归中服装结构设计数学模型部位间的影响关系
2.Predicting the properties of aliphatic alcohols instepwise regression;用逐步回归法预测脂肪醇的-lgS_w和lgK_(ow)
3.Rapid differential diagnosis of thalassemia trait and iron-deficiency anemia withstepwise regression analysis;逐步回归分析快速鉴别诊断地中海贫血与缺铁性贫血
4)stepwise regression analysis逐步回归
1.Prediction of the canine coronal size bystepwise regression analysis;逐步回归分析预测未萌尖牙冠宽
2.Throughstepwise regression analysis of the damaging degree and the willow features,the relationship between the variant regulation of the indices among different willow varieties and damage degree by Anoplophora glabripennis were studied.测定了不同柳树品种或品系含水量、生长量、木材解剖结构等指标,采用逐步回归研究了这些指标在不同柳树品种或品系间的变化规律及与光肩星天牛危害程度之间的关系。
3.In terms of artificial neural network method,mean generation function andstepwise regression analysis,a prediction model for the annual number of tropical cyclones affecting Guangxi is developed in this paper.利用人工神经网络方法、结合均生函数和逐步回归分析方法对影响广西的热带气旋年频数序列进行神经网络的预测模型研究。
5)progressive regression逐步回归
1.The test data are analyzed withprogressive regression,finding that the load-bearing capacity of package of T203 and T204 is superior to T202 but their anti-oxidation and anti-corrosion abilities are well-matched,and DNA and CuDDP have good anti-oxidation performances.采用逐步回归分析实验数据 ,发现T2 0 3、T2 0 4复配后其承载抗磨能力优于T2 0 2 ,抗氧抗腐能力相当 ,DNA、CuDDP均具有很好的抗氧化性能 ,最后 ,运用多变量非线性规划理论计算出了各种添加剂的最佳加入量以及其最终配方。
2.Firstly,progressive regression technique is used to seek the dominating factors affecting energy forecast and eliminate the secondary ones.采用逐步回归法对影响能源预测的各因子进行筛选剔除,寻找主要影响因素,再由层次分析法给诸因子赋予权重,并利用可拓理论对选中的各影响因子与能源总量及其增长率建立物元模型,用改进的关联函数找到待测年份与历史年份的最接近年份,得到待测年份的增长率,从而预测能源总量。
6)Step regression逐步回归
1.The Evaluation of QC/QA in Water Sampling with theStep regression.;逐步回归在评价水质监测采样过程QC/QA中的运用
2.Quantitative analysis method of the relationship between temperature and power load based on decision tree and step regression;基于决策树和逐步回归的气温对负荷影响的定量分析法
3.Based on the project of National Grain Warning System,aiming at predicting the grain output of China,this paper has compared and analyzed forecasting performances of three methods,namely step regression,BP neural network and GM(1,N) gray system.基于国家粮食安全预警系统的开发项目,针对我国粮食年产量预测中精度差和波动大的问题,分析了逐步回归、BP神经网络和GM(1,N)灰色系统3种常用预测方法的预测能力。
延伸阅读
逐步1.随着步履。 2.一步一步地。
