该研究以多变量模型预测的颈动脉内膜切除术30天内死亡或卒中的风险。
This study developed a multivariable model predicting the risk of death or stroke within 30 days of carotid endarterectomy.
并在多变量模型预测控制基本算法描述的基础上给出了这些功能的实现形式。
Some characteristics and their implementation are presented in the multivariable model predictive control algorithm.
定性分析方法主要是单变量分析，定量分析方法有多变量模型和神经网络模型。
Single variable analysis is the mainly used qualitative analysis method in this thesis, while multivariable model and neural network model used as the main quantitative analysis methods.
强化干预组终止实验前共随访3.4年(中位数)，用多变量模型分析此期间数据。
Data obtained during 3.4 (median) years of follow-up before cessation of intensive treatment were analyzed using several multivariable models.
目前很多先进算法均是基于多变量模型的，因此多变量闭环辨识也成为研究的热点之一。
Most of subspace identification algorithms at home have errors in the errors-in-variable situation and close-loop situation.
将多变量模型预测控制技术应用于催化裂化汽油稳定塔的控制，有助于提高稳定塔的控制品质。
By applying multivariable model predictive control (MPC) technology, the control performance of the gasoline debutanizer of fluid catalytic cracking unit can be improved.
文章从单变量模型、多变量模型、条件概率模型以及神经网络模型等最新模型介绍了国外对财务困境预测模型的研究；
The paper introduces the new studies on single-variable model, multi-variable model, conditioning probability model and nerve network model in foreign countries.
在多变量模型中，经c -反应蛋白水平校正后，MPO活性每增加10单位，合并心血管疾病的危险增加20.4%。
After adjusted by the C-reactive protein level in multivariate model, the elevated MPO activity of 10 units was attributed to an increased cardiovascular risk for 20.4%.
最后，本文探讨了第一个数据挖掘模型：回归模型(特别是线性回归多变量模型)，另外还展示了如何在WEKA中使用它。
Finally, this article discussed the first data-mining model, the regression model (specifically, the linear regression multi-variable model), and showed how to use it in WEKA.
使用多变量cox比例风险模型来确定与早期新生儿死亡相关的因素。
Multivariate Cox proportional hazards models were used to identify factors linked to early neonatal death.
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。
A simple clinical scoring system was developed on the basis of regression coefficients of predictors in a multivariable logistic regression model.
中储式球磨机制粉系统是一个多变量、强耦合的对象，数学模型难以建立。
Tube mill pulverizer system is a multi variable and strong coupling process, which is difficult for mathematical model establishing.
盐度的被动微波辐射遥感虽然在L波段灵敏度最高，但是其在L波段的灵敏度低于其它许多变量，因此对盐度反演模型精度要求很高。
Even though the window at L-band is the best choice for salinity remote sensing, the sensitivity of brightness temperature to SSS is lower than that of the other variables.
结论：多变量随机系数模型可有效地进行多变量重复观测数据的动态变化趋势分析以及随机效应分析。
CONCLUSION: multivariate random coefficients model can effectively analyze the dynamic change trend and random effects of multivariate repeated measures data in medical research.
首先利用多维逆m序列作为激励输入信号，用实验法建立出空气传送部分的多变量离散状态空间模型。
Firstly, the paper models the multivariable discrete state-space model of the air transmission unit by the lab method, using multi-dimensional inverse m series as input stimulus signal.
论文首先建立了变风量系统的多变量控制模型，奠定比较完整的数学分析基础。
The multivariable model of the VAV system is established, which is the fundamental of the mathematical analysis of systems.
针对强非线性、多变量耦合系统，提出了一种基于动态t - S模糊模型的约束内模控制策略。
Aiming at the strong nonlinear multiple variable coupling system, a new multivariable internal model control based on T-S fuzzy model was proposed.
基于模型预测控制技术的MCC是一种带有约束、多变量和灵活控制任务切换的优化控制器。
Based on model predictive control techniques, MCC is a multivariable constrained optimal controller with easy task switching.
本文主要论述利用多变量CAR模型预报南方贮木场原木库存量动态变化，并用微机模拟。
The paper USES CAR model of multi-variables to predict dynamic change of dog deposit in southern wood yard, and USES computer to simulate.
本论文致力于研究多变量重复测量模型及估计的比较问题。论文的内容分为三个部分。
This thesis is devoted to the study of multi-variate repeated measures models and comparison of estimators.
中储式球磨机制粉系统是一个多变量、强耦合的对象，数学模型难以建立。
Tube Coal Mill System with Intermediate Storage Bunker is a process of multi-variables, strong coupling and very difficult to establish mathematical models.
高炉数学模型具有多变量、估计和预报等特点。
Blast furnace mathematical model is of characteristics of multiple variables, estimation and forecast. practical typical mathematical models are described.
对包含非线性扰动的多变量系统，提出了一种从参考模型取状态hmrac方案。
A kind of HMRAC scheme is presented. It takes states from model for multivariable system including nonlinear disturbance.
本文提出了用多变量CAR时序模型来辨识电液伺服系统的阶和参数。
This paper proposes the order and parameter identification of electro-hydraulic servo system by multi-variable time series CAR.
第二章主要是对传统的信用风险评估方法进行了较为详细的讨论，包括传统的信用分析以及多变量信用模型。
Chapter II mainly carries on a more detailed discussion to the traditional credit risk assessment method including traditional credit analysis as well as multi-variables credit model.
提出了一种基于最小二乘的多变量系统阶跃响应的模型辨识方法。
A model identification method on multivariate system step response based on least Square is given out.
在此之前，并未见到针对柔性结构建立多变量辨识模型，对弯曲和扭转模态都进行抑制的实际应用的例子。
Erenow, it has not been found that the application was reported in which the multivariable model was identified and both bending and torsional modes were depressed.
最后，设计了以多变量内模控制器作为局部模型控制器的模糊多模型协调控制系统。
At last, the fuzzy multi-model coordinated control system which USES multi-variable inner model controller as the local controller has been designed.
本文的主要工作是模型仿真、系统的耦合性分析、多变量pid解耦控制器设计及多变量预测控制器设计。
The main focuses of this thesis are model simulation, coupling analyses, decoupling PID controller design and multivariable predictive controller design based on wastewater treatment Benchmark.
本文的主要工作是模型仿真、系统的耦合性分析、多变量pid解耦控制器设计及多变量预测控制器设计。
The main focuses of this thesis are model simulation, coupling analyses, decoupling PID controller design and multivariable predictive controller design based on wastewater treatment Benchmark.
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