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predict model
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  预测模型
     The prediction entry threshold of the predict model was <6%(P<0.05).
     预测模型的筛选阈值为6%(P<0.05)。
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     adopt GARCH model revision,obtain final earning ratio and predict model and variance predict models.
     对模型中检验得出的条件异方差采用GARCH模型对其进行修正,得出最终的收益率预测模型以及方差预测模型
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     The half life of slow -releasing degree of Nimodipine was 2.269 h,Behind check probability of predict model,the Nimodipine slow-releases tablet was P=1>0.95,difference than of behind check was C=0.038<0.35,The accuracy grade is one class.
     尼莫地平缓释片的体外释放度的半衰期为2.269 h,尼莫地平缓释片的累积释放量的预测模型的后验概率P=1>0.95,后验差比C=0.038<0.35,精度等级为一级。
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     DRUM BOILER DYNAMIC MODEL AND LOAD/PRESSURE INCREMENT PREDICT MODEL
     汽包锅炉的动态模型结构与负荷/压力增量预测模型
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     System Analysis to Karst Water and Predict Model for Spring Flow
     岩溶水系统分析与泉流量预测模型
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  预报模型
     The MM5 is a mature parallel middle range numerical meteorological predict model.
     MM5是成熟的并行化的中尺度数值气象预报模型
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     A Predict model of the particl random dispersion in turbulence flow
     粉尘在湍流中随机扩散预报模型
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     5. For the problem of soil erosion prediction, we construct support vector regression predict model, and choose optimal parameters by minimizing the bound of LOO error we proposed.
     5.对小流域土壤侵蚀的预报问题,本文利用研究的理论结果建立小流域土壤侵蚀SVR预报模型,并根据最小化LOO误差界选择最优参数。
短句来源
     It is manifestated that the LST parameter retrieved by RS data may become one of the important parameters of the dust storm predict model.
     结果表明 ,利用遥感数据反演地面温度参数可以作为沙尘预报模型的重要参数。
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     To resolve the problem that there is no validate temperature predict model, and to fulfill the control of vacuum degasser (VD)molten steel temperature, a neuron network model is designed to predict the molten steel temperature of VD furnace.
     在对冶金生产过程中的现场实际情况进行详细分析的基础上,采用神经元网络技术建立和开发了一个真空脱气炉(VD)钢水温度的预报模型
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  “predict model”译为未确定词的双语例句
     The predict model for CBD stones consists of 5 variables that are ultrasonographically showing CBD stones or bile duct dilation(BDD),aged above 65 years,fever,serum alkaline phosphatase level greater than 121 IU/L and serum amylase level above 100 U/L.
     根据5项指标:B超发现胆总管扩张或胆总管结石、年龄大于65岁、发热、血清碱性磷酸酶>121 IU/L、血清淀粉酶>100 U/L,可预测胆总管结石存在的可能性。
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     The predict model was established to estimate the vapor pressure of hydrocarbons in molecular structure intrinsic frequencies. The vapor pressures were calculated by Antoine equation for different molecules of hydrocarbons, and used in quantitative structure property relation (QSPR)analysis. The correlation coefficients are m(?)
     以固有频率为分子结构描述符,建立链烷烃蒸气压随温度和结构属性变化的关系模型,用Antoine方程计算不同分子在相同温度下的蒸气压,并用于不同分子的蒸气压与分结构固有频率(基频和总频)及分子中甲基数的定量-结构性质相关性(QSPR)分析,其相关系数r均大于0.967;
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     2.Based on neural network, the human capital stock predict model is present.
     2、提出了基于人工神经网络的人力资本存量的PQLI 指数测度模型。
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     The models are classify model, predict model and loss model. In classify model Cluster technology will be used.
     包括使用cluster聚类进行的聚类分析模型,使用ARIMA时间序列模型进行的预测分析模型,使用线性Logistic回归模型进行的流失分析模型。
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     So, in this paper we combine the T-S model RBF neural network with the advanced control method-predictive control to predict, model and control the complex systems through theoretically analyzing the control algorithm of T-S model RBF neural network in detail and doing a mass of simulation research.
     因此文中对T-S型RBF神经网络的控制算法进行了详细的理论分析和仿真研究,并与先进的控制方法--预测控制相结合,对复杂系统进行预测建模控制。
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  predict model
The main motivation for studying simplified protein models is to be able to predict model structures much more quickly and more accurately than is possible for real proteins.
      


This paper makes to model and predict the measured data in Variant Sample Time of Hydrogen, Cesium and Rubidium atomic clocks, mainly according to the principle of ARIMA models of time series analysis method with the Bias function theory of noise Variance of measuring statistics of atomic time/frequency and method of spline functions. Some preliminary useful predicting models and conclusions obtained in variant noise process have pretical sense in optimal predictions and monitoring of...

This paper makes to model and predict the measured data in Variant Sample Time of Hydrogen, Cesium and Rubidium atomic clocks, mainly according to the principle of ARIMA models of time series analysis method with the Bias function theory of noise Variance of measuring statistics of atomic time/frequency and method of spline functions. Some preliminary useful predicting models and conclusions obtained in variant noise process have pretical sense in optimal predictions and monitoring of the behaviour of atomic time/frequency and in developing new optimal filting control method to improve the performances of atomic clocks.

本文主要根据时间序列分析方法的ARIMA(autoregressive integraled moving averge)模型原理[1-6],结合原子时间频率测量统计学的噪声方差偏函数理论[7-9],以及适当采用样条函数方法[10],对氢,铯、铷等原子钟不同取样时间的测量数据进行建模和预报。对于不同噪声过程,初步得到了一些有用的预报模型和结论,这对于原子时间频率性能的最佳预报和监测(如跳相和跳频)以及研究新的最佳滤波控制方法以提高原子钟的性能指标都有实际意义。

The GMDH (PSS criterion) was modified for river water quality modeling. The modified GMDH could selfselect variables and selforganize the structure of model. It was suggested that the pre-selection of variables should be done prior to modeling and the model should be selected according to PSS criterion, relative error and the physical meaning of models. As an example, the method was applied to develop the predicting model of organic matter in Yang River.

本文主要探讨以PSS为准则的改进型数据组合处理方法(GMDH)在河流水质模型化中的应用,提出在建模前进行变量的预选择以及根据PSS准则、相对误差和模型的物理意义选出最佳的模型,并以洋河有机物的预测模型为实例进行了考察。改进的GMDH具有自选择变量、自组织结构、快速建模的功能,且所建的模型具有良好的物理意义。

Smith predictor is an important control system which can he used in dead time compensated control. An accurate algorithm suitable for Smith predicted controller is presented in this paper. The algorithm is composed of P1D model and Smith predicted model. The P1D model algorithm and G(s) model algorithm are fitted by the virtual zero order holder Z transform, and the G(s)e~(τs) model algorithm is fitted by the virtual first order holder Z transform. The e~(τs) unit is made...

Smith predictor is an important control system which can he used in dead time compensated control. An accurate algorithm suitable for Smith predicted controller is presented in this paper. The algorithm is composed of P1D model and Smith predicted model. The P1D model algorithm and G(s) model algorithm are fitted by the virtual zero order holder Z transform, and the G(s)e~(τs) model algorithm is fitted by the virtual first order holder Z transform. The e~(τs) unit is made up of a circulator with dual pointer. This algorithm possesses a highly fitting accnracy.

Smith预估器是一种重要的控制系统结构,可以应用于纯滞后补偿控制。本文介绍一种精确、可用的Smith预估控制器算式,这种算式由PID模块与Smith预估模块组成。PID模块算式与G(s)模块算式由虚拟零阶保持器z变换来拟合,G(s)e~(-τs)模块算式由虚拟一阶保持器z变换来拟合。e~(-τs)单元由具有双指针的循环器构成。这种算式具有很高的拟合精度。

 
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