提高预测精度，减少优化时间。
算例表明，该模型可以提高预测精度。
Example shows the mode can improve the precision of forecasting.
提高预测精度是短期负荷预测的基本目标。
To improve prediction precision is the most radical objective in short term load forecasting (STLF).
经实例验证，该方法能有效地提高预测精度和速度。
It can be seen from the example, the method can effectively improve the forecasting accuracy and speed.
该模型能降低单个神经网络的预测风险，提高预测精度。
With this model the forecasting risk of single neural network can be reduced and the forecasting accuracy can be improved.
针对原始数据波动情况，提出了残差周期模型以提高预测精度。
To counter the fluctuating case of original data, residual periodic model is put forward to increase forecast precision.
但为进一步提高预测精度，还需研究平稳性和初始状态的影响。
But to improve the accuracy of the prediction, the effect of the smooth and initial state should be studied more.
研究表明贝叶斯模型修正方法用于模型确认能显著提高预测精度。
The results demonstrate that the model predictive precision can be significantly improved when utilizing Bayesian model updating method in model validation.
研究表明贝叶斯模型修正方法用于模型确认能显著提高预测精度。
The study results demonstrate that the model predictive precision can significantly be improved when utilizing Bayesian model updating method in model validation.
通过适当变量变换，在相同网络单元数情况下，大大提高预测精度。
By varying suitably variables, a high degree of accuracy was received at the network of the same units.
尝试将组合预测法应用于我国未来粮食产量的预测，以提高预测精度。
Combination forecasting model will be applied to forecast the grain production of China, in order to make the result more exact.
使用传递函数模型对时间序列进行分析，最大的意义在于提高预测精度。
The most important purpose to analyze time series with transfer function model is improving the precision of forecast.
因此，关于如何提高预测精度的问题，一直是短期负荷预测研究的重点问题。
Therefore, how to improve the forecasting precision is the emphasis on the study of short-term load forecasting.
并对波动幅度较大的经济序列进行预测，表明该方法可以有效地提高预测精度。
According to the properties of model in grey forecasting theory, bi-auto-seeking-weight method was proposed and applied to forecast the economic sequences which rise and fall by a wide margin.
文章介绍了在小样本空间中，采用动态调整样本空间数据的手段来提高预测精度；
The method of dynamic adjusting data to improve the forecast precision in the small sample field is introduced.
结合强化浸出对浸出速率的影响，将预测结果加以修正，会进一步提高预测精度。
According to the effect of intensified leaching on leaching rate, the predicted results can be revised to further improve their accuracy.
结合强化浸出对浸出速率的影响，将预测结果加以修正，会进一步提高预测精度。
According to the effect of intensified leaching on leaching rate, the predicted results can be revised tofu...
该方法与普通卡尔曼预测方法相比较，能够提高预测精度，减缓了预测估计的发散。
Thus, the new prediction estimation algorithm is simplified. Comparing with ordinary Kalman prediction method, the new ones can increase the accuracy of stock tendency prediction.
时间序列法是用水量预测的常用方法，其中预测模型的选择是提高预测精度的关键。
The time series method is one of common methods for forecasting water consumption. The prediction accuracy on water consumption can be guaranteed by the selection of forecast models.
给出了粮食产量预测的常用模型，通过加权组合，进而确定组合预测模型以提高预测精度。
Given the commonly used food production forecast model, with the aid of a weighted combination of prediction model to determine the combination, the prediction accuracy will be improved.
组合预测能够充分利用已知信息，从而提高预测精度。在组合预测中，权重的确定非常重要。
Combining forecasting can improve the precision of forecasting by making use of information that we had known.
其中加权算术平均组合预测模型能获得最佳的模型组合形式，从而能够有效地提高预测精度。
The weighted average combination model can obtain the best combination model form to promote the forecast precision.
通过对股票的预测，说明该方法能有效地提高预测精度，避免了人工神经网络模型的固有缺陷。
The example of stock prediction testifies that this method can effectively improve the prediction accuracy and avoid the intrinsic defects of artificial neural network model.
提高预测精度：然而，残基在序列中的顺序可以更好地描述序列与结构类之间的关系，尤其是抓…和。
This is a flexible prediction method, based on which the knowledge of the query sequence can be utilized and the predictive accuracy be improved as a result.
为了进一步提高预测精度和网络训练的效率，对众多的预报因子采用主成分分析的方法进行降维处理。
For improving forecast accuracy and the efficiency of network training, we USES principle components analysis method to reduce the dimensionality of the feature space.
为了有效地提高预测精度，选择输入变量和人才培养模式，提出了基于数据挖掘技术的负荷预测模型。
In order to efficiently improve the prediction accuracy by selecting input variables and the training pattern, a load forecasting model based on data mining technique is presented.
对预测结果的分析表明，多点外推法不仅减少了平均误差，也使最大误差降低，能有效提高预测精度。
Practical results show that the proposed method lowers both average error and maximum error and improves forecasting precision.
对预测结果的分析表明，多点外推法不仅减少了平均误差，也使最大误差降低，能有效提高预测精度。
Practical results show that the proposed method lowers both average error and maximum error and improves forecasting precision.
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