预测的误差可能来自错误的数据、错误的假设或错误的模型。
Errors in forecasting can result from bad data, wrong assumptions or a faulty model.
针对焦炉火道温度在线检测的问题，在分析焦炉火道温度特性的基础上，建立了一种基于误差预测的高精度焦炉火道温度软测量模型。
The features of coke oven flue temperature are analyzed, and a highly accurate soft-sensing model based on error forecasting is established to measure the coke oven flue temperature on-line.
结果表明，该模型在发动机中负荷区域预测精度较高，其误差在使用允许范围内。
The results showed that the accuracy of this model is high in mid engine load area and its error is limited in useable range.
本文提出基于新的激励函数BP算法建立误差预测模型，修正新型广义预测算法的预测输出。
In the paper presents the predictive out of a new generalized predictive Control is corrected by the error predictive model based on a new excite function BP arithmetic.
对于发生变化的动态经济过程，应用定常参数模型进行预测时误差较大。
In forecasting dynamic economic processes by using the model with steady parameters, large errors are often discovered.
并分析了相对湿度预测模型中误差产生的原因。
And discuss the reason of the error in the predicting model of the RH.
在此基础上建立时变序列预测公式及误差估计公式，给出其回归与时变自回归模型。
The prediction formula and its error estimation are also established. Its regression and time-varying autoregression model is presented.
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.
由该模型对95个聚合物的折光率进行预测，平均相对误差为0.959％。
The average prediction error by this model is 0.959% for the refractive index of 95 amorphous homopolymers.
结合矢量观测的特点，基于最小模型误差准则给出了一种确定卫星姿态的实时估计算法，称为预测滤波算法。
Considering the character of vector observation, a real time predictive filter based on minimum model error (MME) criterion is presented for satellite attitude estimation.
通过误差分析与比较，把增长曲线模型引入到多级荷载下的路堤沉降预测中。
For the multistage loadings of embankment, the logistic curve model to embankment settlement predication is put forward by error analyses and comparisons.
本文提出了一种新的GM(1,1)模型，可以在灰度图像无损压缩中实现预测误差编码。
In this paper we propose a new GM (1, 1) model, which can implement the predictive error coding in a lossless compression of gray scale images.
回归是这样一种建模方式，它先确定一个衡量模型预测误差的量，然后通过这个量来反复优化变量之间的关系。
Regression is concerned with modelling the relationship between variables that is iteratively refined using a measure of error in the predictions made by the model.
与简单预测模型对比，误差最小。
Comparing to the simple forecasting model, its error is the minimum.
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.
由于实际情况很难满足上述条件，所以传统预测模型的误差偏大、使用效果不佳。
As the actual situation is difficult to meet the above conditions, so the traditional prediction model error is too large to use ineffective.
利用该模型进行的精度预测结果表明，该模型的预测误差可以控制在10 %以内，具有很高的精度预测能力。
The prediction results show that the error of accuracy prediction can be controlled within 10% by using the proposed model, which is of excellent capability of accuracy prediction.
通过计算比较发现，基于PR状态方程的粘度预测模型误差较大，而LBC经验关系能较准确地确定酸性气体的粘度。
Calculation shows that the viscosity model based on pr state equation has big error, while LBC empirical relationship can provide more accurate viscosity of acidic gas.
现场在线应用结果表明：给出的轧制力模型具有良好的预测精度，预测误差可以控制在5%以内。
The result of on-line application indicated that rolling force model has good precision of prediction with an error less than 5%.
对外汇汇率问题进行的模型构造和预测的结果表明，该方法的预测误差明显减小。
We build models and make predictions for the currency exchange rate, the prediction errors of adaptive modeling method decrease.
提出了一种基于信息效能函数的传感器管理最优决策模型，分析了以预测误差协方差为分配效能的分配算法的最优性。
An optimal decision model of sensor management based on information efficacy function is proposed. The optimality of the allocation algorithm based on predicting covariance is analyzed.
仿真实验表明，在参数个数相同的情况下，使用新模型的逼近算法在逼近精度与预测误差两方面都优于使用原模型。
In simulation, with the same number of parameters, the new algorithm gets better approximation precision and less prediction error than those of the hinge-finding algorithm.
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.
检测了模型的预测精度，结果显示误差小于6%。
The forecast accuracy was proved to be satisfactory with an error ratio less than 6%.
模糊控制器的两个输入变量为设定值，与灰色预测模型的输出值之间比较得到预测误差及其预测误差的变化率。
The predictive error and its rate of change of the gray predictive model are taken to the fuzzy controller as two input variables.
对多信道模型的输出应用线性预测，证明了预测误差只包含多信道模型冲激响应在第一个时隙的参数，并给出最佳线性预测器的长度。
A linear prediction approach is applied to the output of this SIMO model and we prove that the prediction error contains the parameters of the first time slot of the model impulse response.
针对单个BP神经网络作为预测模型时，递推多步预测误差积累大的缺点，本文提出多BP神经网络并行预测控制算法。
As the recursive error is accumulated largely when the single BP network is regarded as predictive model, we propose the paratactic predictive control algorithm based on multi-BP networks.
而AR模型的阶次由最终预测误差（FPE）判据确定。
The order of the AR model can be determined by Final Predictio nError (FPE) criterion.
对该预测模型的误差进行分析。
经过实例检验，改进的模拟退火-灰色模型的相对误差比传统灰色模型小的多，提高了预测精度。
It is testified by instance that the relative error of stimulated annealing grey model is smaller than traditional grey model's and it has improved the prediction precision.
应用推荐