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- auto regressive coefficients 自回归系数
- The auto correlation coefficients figure is suggested to ascertain auto regressive items of bilinear time series model (BM).A scheme based on genetic algorithms is adopted to deduce the BM. 摘要文章提出了实用自相关系数图确定双线性模型的自回归项,应用了基于遗传算法的一套建模方法。
- The Microsoft Decision Trees algorithm trains a model by using an Auto Regressive decision tree. Microsoft决策树算法通过使用自动回归决策树来为模型定型。
- The trend part of the data can be fitted with BP back propagation) neural network and the random part is processed by a normal ARMA (auto regressive moving average) model. 采用BP网络对不平稳时间序列进行数据拟合,处理趋势部分,利用ARMA模型处理随机部分。
- The effect of colinearity is to make the regression coefficients unreliable. 共线性的影响是使回归系数不可靠。
- PNN controller uses nonlinear auto regressive moving average (NARMA) model for predictive model, makes real time study and control for all process , but control precisions is lower in start phase. 所研究的预测神经网络采用了基于非线性自回归滑动平均模型建立预测模型,实现在线学习和在线控制,但初始阶段控制精度不高。
- To solve the problem of modeling temperature control in the fermentation process, a neural network nonlinear auto regressive moving average(NN-NARMA) modeling method for nonlinear system is proposed. 针对生物发酵过程中温度控制难以建模的问题,基于非线性自回归滑动平均(NARMA)模型,设计了神经网络自回归滑动平均(NN-NARMA)模型。
- In this paper, we consider the admissibility of linear estimates of regression coefficients in growth curve model. 本文讨论增长曲线模型回归系数的线性估计的容许性.
- auto regressive integrated moving average(ARIMA) 差分自回归滑动平均模型
- multidimensional auto regressive models 多维自回归模型
- Collocated AIRS brightness temperature and the corresponding T213 temperatureanalyses field are used to compute the regression coefficients. 利用AIRS实际观测资料反演大气温度,本文使用的是便于处理大数据量的统计反演方法中的特征向量法,计算回归系数使用的是AIRS观测辐射值和T213数值预报分析场。
- Auto regressive integrated moving average model 求和自回归滑动平均模型
- In the third part, we give the admissible estimators of regression coefficients in statistical linear model with or without constraints. 第三章是关于回归系数的可容许估计,这包括统计线性模型不受约束和受约束的情形。
- differential auto regressive algorithm DIAR算法
- A simple clinical scoring system was deeloped on the basis of regression coefficients of predictors in a multiariable logistic regression model. 在多变量逻辑回归模型中,开发基于回归系数预测程序的一个简单的临床评分体系。
- Marginal regression models can be used to estimate regression coefficients and association parameters for two kinds of data. 对两种类型资料边际回归模型都可以同时估计回归系数和关联参数。
- Nonlinear auto regressive moving average 非线性自回归滑动平均模型
- We investigate the admissibility of the linear estimate of random regression coefficients under a matrix loss function in general growth curve models. 摘要本文在矩阵损失下研究了一般增长曲线模型中随机回归系数线性估计的可容许性。
- Computing the regression coefficients with AIRS brightness temperature and thecorresponding T213 temperature analyses field make for AIRS operational retrieval. 本文采用T213数值预报分析场进行回归系数计算,为AIRS资料反演业务化奠定了良好基础。
- Standardpartial regression coefficients showed that relative contribution rates of these parametersto Ptfv_1 were 45% for LAD,24% MLAP,and 31% MVA respectively. 标准偏回归系数显示诸参数对 Ptfv_1的相对贡献率分别为LAD45%25,MLAP24%25和 MVA31%25。