计算格式采用两步积分的预测校正法进行选代求解。
The calculation is conducted with a two-step-integral predicted-correction method.
基于BP神经网络建立了热管式真空管集热器热性能的预测校正模型。
A predictive correction model for thermal characteristics of heat-pipe evacuated tubular solar collector was established based on BP neural network.
数值计算采用有限体积法和预测校正法，固壁边界条件采用“部分滑移条件”。
The finite volume approach in space and predictor-corrector method in time is used, and "partial slip condition" is applied to the solid wall boundary condition.
通过采用预测校正二步时间积分和单元内引入坡度限制，该算法在时空上均可达到二阶精度。
Second-order accuracy both in time and space can be achieved by means of an explicit predictor-corrector scheme and slope-limiting within elements.
在此基础上引入预测校正环节，该方法能很好地协调解的最优性和可行性之间的关系，改善了算法的收敛性；
On this basis, the prediction was correct link, the method can coordinate optimality and feasibility of the relationship between the improved convergence of the algorithm;
作为另一种选择，对每个染料只有一套校正染色方法也是可行的，然后计算在多种染料处方中可预测的染色效果。
Alternatively, it is also possible to make only one set of calibration dyeings for every dye and then calculate the expected performance in multiple-dye recipes.
本文把一种新的灰色理论自修正模型应用到负荷预测的误差校正中。
A new gray theory self-correcting model is applied to the error correct of Short-term Load Forecasting Technique.
其中预测及校正方程均采用特殊的矩阵降阶技术求解，所需求解的方程组维数只相当于原来的一半。
All equations in prediction and correction step can be solved using matrix reduction technique, which significantly reduces the dimension to half of the original.
结果通过在确认样本上计算得到压缩因子和校正预后指数，可改善预测。
Results Prediction was improved by shrinkage factor and adjusted prognostic index based on validation sample.
由于人工神经网络好的非线性的多变量校正特点，预测结果是准确的。
Owing to good nonlinear multivariate calibration nature of ANN, the predicted results was reliable.
常规动校正处理方法提供的叠加速度及层速度精度不能满足钻前压力预测的需要。
The precision of stack velocity and interval velocity provided by common NMO correction processing method can't meet the need of predicting the pre-drilling press.
负荷预报作为供热系统的设定值，模型误差作为预测控制的校正量。
The load forecast is used as set point of heat supply system, and model error is used as corrected value of predictive control.
不同于传感器节点的装置可使用该数据，来基于传感器数据中的固有冗余而开发预测模型，并且校正一个或多个以后接收的、看起来不可靠的值。
A device other than a sensor node can use the data to develop a predictive model based upon inherent redundancy in the sensor data, and correct one or more later-received values deemed unreliable.
该方法将结构划分成若干个子系统，通过对各子系统边界状态的预测使整个系统得以解耦，真正的系统状态则在子系统各自的控制方程中校正。
The structure is divided into several subsystems and is uncoupled by predicting boundary states, and then, the real responses of the subsystems are found out from their governing equations.
在有效的心血管病风险预测因子校正之后，可是只有舒张压的办公室血压变为心血管事件的强预测因子。
After adjustment for all available CV risk predictors, only diastolic OBP remained a significant predictor for CV events, however.
采用校正后的地震层速度进行地层压力预测，其预测精度有较大提高。
Use of the corrected seismic horizon velocity for prediction of formation pressure can greatly raise the accuracy of prediction.
仿真结果表明所采用的广义预测自校正控制算法能够较好地控制反应堆功率的输出，取得了较好的控制效果。
The emulation result expressed the algorithm of global predictive control with self-adaptive had better ability for the output of power control of nuclear reactor, and got the better control effect.
研究证明，小波神经网络所建立的非线性误差校正模型有较好的预测效果，能够有效地预测非线性经济系统。
The results validate more validity of nonlinear error correction model on the wavelet neural network than linear vector autoregressive model, and forecast validly the nonlinear economy system.
计算结果表明，单波长校正模型可得到更加准确的预测结果。
The calculated results show that the more accurate result can be obtained by means of the single wavelength calibration model.
表明所采用的广义预测自校正控制算法能够较好的控制核动力蒸汽轮机转速的输出，可以获得较好的控制效果。
It shows that the algorithm of global predictive control with self-adaptive can better control the output of the speed of the gas turbine of the nuclear power plant and get the better control effect.
将检测结果转化成校正QT间期—QTC，转化后可进一步评测间期长短，对疾病进行预测。
Then the measurement result is transformed into corrected QT interval, that is, QTC. QTC can be applied to forecasting the diseases.
应用识别与校正后的模型预测不同开采方案下的地下水动态。
The identified and revised model is used to forecast the groundwater regime for different exploitation schemes.
为此，笔者提出了油气田产量预测的校正方法，这一研究弥补了以往产量预测模型的不足。
This paper presented a correctional method for forecasting production of them, making up for defects of the models for it.
此外，用实测点直接对预测结果校正可以得到更加准确的预测结果。
In addition, more accurate predictions can be achieved after revising the theoretical data with actual ones.
仿真结果表明：采用广义预测控制并用预报误差代替一般的误差校正算法，液压弯辊板形控制系统精度和鲁棒性明显提高。
The simulation results show that the system precision and robust is greatly improved through generalized predictive control and output error compensation instead of error correction.
提出将广义预测自校正控制算法应用于反应堆功率控制中，包括控制结构和控制器设计。
It also put forward to apply the algorithm of global predictive control with self-adaptive in the power control of nuclear reactor, including control structure and the device of controller.
实现了预测控制的三个环节：多步预测、滚动优化、反馈校正。
This method implements the three laches of GPC: multistep prediction, recursive optimization, feedback emendation .
使用校正数据的相关性来预测和校正一个或多个瞬时误差。
One or more transient errors are predicted and corrected using correlation of corrected data.
使用校正数据的相关性来预测和校正一个或多个瞬时误差。
One or more transient errors are predicted and corrected using correlation of corrected data.
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