减少预测

聚集TPR树索引在TPR树中间节点中加入移动对象聚集信息以减少预测范围聚集查询所需要的节点访问代价。

ATPR - tree is based on TPR-tree structure and added with aggregate information in intermediate nodes to reduce the disk accesses of PRA queries .

论文最后探讨了服务器端的预取控制，根据网络流量的变化，自适应地改变阈值从而增加或减少预测集的数量。

According to network traffic , it is adaptive to change the threshold to increase or decrease the number of prediction set .

为了提高模型的准确性，本文引进人工神经网络技术建立了非线性误差校正模型，减少预测误差。

In order to improve the model 's veracity , the paper uses artificial neural network to establish nonlinear error correction model .

高精度的匹配和补偿可以减少预测误差，提高视频图像的压缩效果。

The prediction error can be decreased by incorporating high accuracy estimation and compensation , and the performance of compressed video can be improved .

通过实验分析，该模型相比早期的预测模型能够减少预测成本，提高预测精度，提升泛化性能。

Through experimental analysis , compared to traditional prediction models , the prediction model could reduce prediction costs , improve prediction accuracy and increase generalization performance .

因此，设计构件化的预测算法库对于在预测领域，减少预测算法模型实现过程中的重复劳动和提高预测软件的开发效率和质量具有现实意义。

So we think that designing component forecast arithmetic library has important significance to decrease the repeated works and increase the he efficiency and quantity of development in this area .

提出了基于小波变换和平稳时间序列分析的预测变量预处理方法，减少预测变量的干扰信号对模型精度的影响。

Furthermore , a preprocessing method based on wavelet transform and stationary time series analysis is introduced to reduce the impact of interference of the prediction variables on the accuracy of the model .

而位置特异性得分矩阵方法具有参数少，计算过程简单，能够抵抗背景噪声和减少预测结果冗余等优点，已经越来越多地被应用于转录因子结合位点识别问题。

The PSSM has many advantages , such as fewer parameters , simple calculation , resistant to background noise , reducing the redundancy predicted results . It has been increasingly applied to identifying TFBS .

由于在备货生产方式下，对库存水平进行管理的基本前提是建立于对需求量的预测，需要选择合适的需求预测方法以减少预测误差，本章接下来概述了需求的一般预测方法。

In the make-to-stock system , the management of the inventory bases on the forecasting of the demand . We need choose the optimal forecast method in order to reduce the deviation . Then we introduce the forecast methods .

它是在诸多单个预测模型各异的情况下，将各种不同类型的单个模型兼收并蓄、各取所需，集中更多的信息与预测技巧，以减少预测的误差，显著改进预测效果。

In the circumstance of so many individual forecasting model are different , it get what it need in different type of single model , gather more information and forecasting techniques , in order to reduce the prediction error and improve the effect of prediction significantly .

它有效地减少了预测人员经验不足所带来的人为误差，提高了电力负荷预测的准确性和实用性。

It has reduced human errors caused by artificial insufficient experience , and improved accuracy and practicability in load forecast .

科学家们保证说，如果温室气体排放量能大幅减少，预测的最严重效应中，有部分可以避免。

Scientists did reassure that some of the worst effects predicted could be avoided - if greenhouse gas emissions were cut sharply .

通过噪声带宽分别衡量不同指数平滑预测模型引起供应链库存波动的程度，并且通过匹配滤波的方法可以减少不同预测模型引起供应链的波动性。

The extent of inventory fluctuating induced by different smoothing forecasting model can be measured by noise bandwidth , and the inventory fluctuating can be reduced by matched filtering .

作者采用一种改进的主成分分析法，在不损失负荷原始数据主要信息的前提下提取负荷数据的主成分，有效地减少了预测模型的输入量。

An improved PCA is utilized to extract the principal component of the load data under the prerequisite that the main information of original load data is not lost , therefore the input of forecasting model is effectively reduced .

在勘探生产中应用后证实，此方法能够有效地减少对预测目标的多解性，显著地减少偏差，从而为提高油气勘探开发成功率提供较准确的地质依据。

The method has been proved after application in exploration production that it can effectively reduce for predicting target , significantly diminish bias and therefore provide more accurate geologic basis for improvement on rate of success in oil-gas exploration and development .

文中提出了结合相邻块运动向量相等和SAD值比较的起点预测方法，减少了起点预测时计算SAD的开销；

By combining the equality of the motion vectors of the neighbor blocks and the SAD comparison , this paper presents an initial estimating of the search point , which reduces the cost of computing SAD .

基于CARMA模型，对多步输出预测加权后进行预测控制，从而能充分利用预测信息，减少了单一预测误差对控制器的影响，其结果改进了原广义预测控制算法。

Based on CARMA model , a predictive control method is proposed by weighted multi-step out-put prediction of the model . The method can fully use the predictive information and reduce the influence of single predictive errors on controller . The result improves on the former GPC algorithms .

该研究的目标是研究骨质减少是否是预测侧凸进展的一个重要预后因子。

The aim of this study was to investigate whether osteopenia could serve as one of the important prognostic factors in predicting curve progression .

利用BP神经网络模拟技术来减少实验次数，预测干燥结果的方法是可行的。

It was feasible to reduce experiment times and predict drying results by applying BP neural network simulation technique .

RS-SVM能够有效减少风电场风速预测的条件属性，降低了噪声数据的影响，实现风速数据变量间的非线性映射关系，提高了模型的运行速度和预测精度。

RS-SVM can reduce the forecast wind conditions for wind properties effectively , and the impact of the noise data , realize non-linear mapping relationship of variable wind speed data , as well as improve the operating speed and prediction accuracy of the model .

通过精细的数值模拟计算，减少了时域噪声预测所需时间。

With careful CFD simulation , time consumption of time-domain noise prediction is reduced .

糖蛋白Ⅱb/Ⅲa抑制剂相关性血小板减少症：临床预测指标及其对预后的影响

Glycoprotein ⅱ b / ⅲ a inhibitor-associated thrombocytopenia : Clinical predictors and effect on outcome

结果显示，融合模型能显著地减少陆地上的预测均方差。

It is noticed that fusion model can significantly reduce prediction error on land and desert .

工资总额的减少比经济学家们预测的还要多，而且这是美国连续九个月就业机会减少。

The reduction in payrolls was much sharper than economists were predicting , and this was the ninth straight month that the country has lost jobs .

研究结果表明，用该方法处理后的样本数据输入网络，网络结构得到简化，训练时间减少，提高了预测效率和预测精度。

The results show that the network structure is simplified , the training time is reduced and the predicated efficiency and the accuracy are improved after the disposed sample data are input to the network .

本文概述了油气田出砂预测方法的发展过程、出砂机理及目前使用的出砂预测方法，并提出了一个出砂预测系统以减少单一出砂预测方法的预测结果的不确定性。

The paper describes the evolution of sanding prediction method of oil & gas field , sanding mechanism and sanding prediction method used at present . And a sanding prediction system is put forward , so as to reduce the uncertainty of prediction result by single sanding prediction method .

通过设计模糊预测器减少输出比特流的预测误差，采用神经网络减少多步预测的计算量。

The prediction error is reduced by the fuzzy predictor , and the implementation of neural network is used for lower computation of multistep prediction .

首先，将小波分解所得到的多组网络流量的子序列进行特征的分析，将在相近频谱下特征相似的流量子序列进行合并，减少子序列的数量，从而减少建模预测次数。

First , we analysis the characteristics of many groups of son sequences , which are obtained from network traffic wavelet decomposition , and merge flow son sequence with the similar spectrum and similar characteristics , in order to reduce the number of sons sequence and reduce forecasting times .