This model adopted direct prediction method, so error accumulation effect was avoided. The training data set was real-time updated so that the model was always the newest.
该模式采用直接预报的方法，避免了误差累积效应；对训练集实时更新，以保证模式的不断更新；模式的输入比较简单，便于应用。
The prediction formula and its error estimation are also established. Its regression and time-varying autoregression model is presented.
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 result of on-line application indicated that rolling force model has good precision of prediction with an error less than 5%.
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 average prediction error by this model is 0.959% for the refractive index of 95 amorphous homopolymers.
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％。
First, it introduces time series analysis principle. Then, heating load and model error prediction are given by this principle.
文中首先介绍了时间序列法预报原理，接着应用该原理给出供热负荷和模型误差的预报。
In addition, GPS observation itself maybe have system error, so it is needed to take into account GPS self-reliability when assimilating the GPS data into the numerical prediction model.
另外，GPS测量可降水量本身可能存在系统误差，在将GPS资料同化入数值预报模式时应关注GPS资料本身的可靠性。
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.
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。
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.
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。
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.
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。
Through comparing their sums of squared error, it was concluded that prediction error algorithm-based OE model has the best precision.
通过误差平方和的比较，确定利用基于输出误差（OE）模型的预报误差法所建立的模型的精度最高。
It is the first time that a converting furnace endpoint prediction model based on an improved BP neural network and error compensation of linear regression.
提出了基于改进的BP神经网络学习算法和自适应残差补偿算法的炼铜转炉吹炼终点组合预报模型。
It is proved in use that the new method has an advantage over conventional ones, the prediction model has higher precision, the maximum average error is within 1%.
应用结果表明，该方法优于一般预报方法，具有较高的精度，最大相对误差在1%以内。
As the actual situation is difficult to meet the above conditions, so the traditional prediction model error is too large to use ineffective.
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。
The case study indicates the model has a quickly convergent velocity and less error, and prediction result is comparatively consistent with the experimental result.
结果表明，该模型收敛速度快，预测误差小，预测结果与实测结果较为符合。
Prediction results show an upward trend, which is different from the actual situation. By improving the model we reduce the error effectively.
预测结果均呈上升趋势，这与实际情况有所出入，通过模型改进有效减少误差。
Experimental data show that the model can be tested within 6% dynamic loads measurement prediction error.
实验数据测试表明模型可以获得6%以内的动态称重预测误差。
Based upon the model established here, a square prediction error is used to detect that the sensor fault for SPE (Principle component analysis) is sensitive to the sensor fault.
在所建立模型的基础上，根据平方预报误差(SPE)对传感器故障敏感的特点利用其进行传感器的故障检测。
The error of the model is small and its performance is stable. The problem that error increases with the lapse of time existed in common fitting prediction has been overcome.
该模型误差小且稳定，克服了一般拟合预测中误差随时间推移增大的缺点。
The results show that the useful forecast effectiveness can reach 5-6 days. The prediction error range is much less than that of the T42 model.
结果表明，T63模式产品的可用预报时效可达5—6天，其预报误差幅度比T 42明显减小。
By changing the boundary conditions of the grey forecasting model of the residual Error cent rank processing, Make the original Synergetic prediction model precision and prediction accuracy is higher.
通过改变边界条件的灰色预测模型对残差进行了分阶处理，使原有协同预测模型的精度和预测准确性更高。
Slope system is a sort of typical complex gray system, applying classical gray prediction model will engender large error in predicted value due to the high discrete degree of monitored displacement.
边坡系统是一类典型的复杂灰色系统，由于其位移监测数据离散程度较高，因此应用经典灰色预测模型往往会出现预测值偏差较大的情况。
The correlation coefficients (r) and root mean square error of prediction (RMSEP) were used as the model evaluation indices.
以预测集的预测相关系数(r)，预测标准偏差(RMSEP)作为模型评价指标。
The results indicate:(1)the mean absolute value of relative error of the prediction results of this model has been reduced at 0.13% (the original is 3.92% in the PLS model);
研究结果：（1）此模型预测结果的相对误差绝对值均值从PLS模型的3.92%，降低到了0.13%；
Through establishing the predicting GM model of corrected residual error, on-line prediction of the target track could be realized in real time, and thus could improve the prediction precision.
该方法通过建立等维新息残差修正GM预测模型，实现了航迹的实时在线预测，从而提高了预测精度。
Then appending the error to primitive model, the modified model is made, which is used for prediction.
将原模型与残差叠加，求得残差修正模型并用于预测。
The final result of the model was the addition of the two model's validation values, and the root mean squared error of prediction (RMSEP) was used to estimate the mixed model.
最终预测结果为两个模型预测值之和， 以模型的预测标准偏差（RMSEP）作为评价指标， 以便考察新方法的有效性。
The BP network model of prediction of gas gushing quantity for combined mining faces is established by means of BP network method of ANN theory. The error analysis and practical use show that co…
通过误差分析及实际应用，证明将关联分析与BP网络结合起来开展采面瓦斯涌出量预测是一种可行的方法。
The BP network model of prediction of gas gushing quantity for combined mining faces is established by means of BP network method of ANN theory. The error analysis and practical use show that co…
通过误差分析及实际应用，证明将关联分析与BP网络结合起来开展采面瓦斯涌出量预测是一种可行的方法。
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