prediction data的例句大全

OD prediction method by special train trip package open line program intended effect analysis and the results show that when the absence of relevant data, special train trip package program with the opening line effect of gravity model to forecast better.

按铁路运量分布预测方法进行行包专列的开行方案的预期效果分析，分析结果证明，当缺少相关的数据时，行包专列的开行方案采用重力模型法预测效果比较好。

Application of log data to producing capacity prediction in carbonate reservoir

测井资料在碳酸盐岩洞&裂缝型储层产能评价中的应用

Error Prediction Model for Traverse Taken into Consideration of the Influence of Initial Data Error to Run-through

顾及起算数据误差的导线对贯通影响的误差预计模型

Objective To fit the prediction model that suit to the time series data of the medical service demand.

目的拟合医疗服务需求时间序列资料的预测模型。

In combination of the in situ groundwater treatment pilot plant data with the base experiment data we established a prediction model for the ZVI groundwater restoration.

最后通过地下水原位修复中试装置，结合中试实验数据和基础试验数据，建立了ZVI修复污染地下水的预测模型。

J-M prediction model hypothesis of software reliability needs a stricter requirement for reliability test data and it is not so consistent with the fact.

软件可靠性J-M预计模型对可靠性测试数据的假设要求比较严格，与实际情况不太符合。

ActiveX control and browser/ server techinque were adopted in grain supply and demand balance prediction and aided decision system in Shanghai; and the geography information flat was established based on ActiveX. The functions including visual search, prediction and analyse to system data base were achieved.

上海粮食供需平衡预测与辅助决策系统采用ActiveX控件和浏览器/服务器技术，建立基于ActiveX的地理信息平台，实现对系统数据库的可视化检索查询、预测、分析等功能。

The technology provided theoretical support of basic data for fault prediction of large caliber gun.

该技术为大口径火炮故障预测提供了理论依据和数据支持。

We propose a future prediction oriented double-layered index structure in P2P environment, PeerFOX: the upper layer is for the network topology and data structure among server nodes, while the lower layer is for the index structures inside serve nodes.

提出了一种P2P环境下面向将来查询的双层索引结构PeerFOX：上层为服务器节点间网络的拓扑组织结构及其数据结构，下层为服务器节点内部的索引结构。

A grey prediction model was constructed according to the accumulated data in history of working procedure, and with this model the grey time limit was whitened to certain value.

该方法根据工序作业时间历史积累的数据，建立灰色预测模型，将工程计划中具有灰色特性的不确定性工序作业时间白化为确定值。

Therefore, in this paper combined with empirical mode decomposition and radial basis neural networks establish one online time series data stream prediction model called Online_DSPM is proposed.

所以本文结合经验模式分解和径向基神经网络建立时间序列数据流在线预测模型一Online DSPM。

On the above basis, according to the statistic data time series of historical disaster losses and by using SPSS software to fit the Fourier series general model, this study will obtain the fitting equation of disaster prediction model.

在此基础之上，根据历史灾情损失的时间序列统计数据，运用spss软件对傅里叶级数一般模型进行拟合，从而得到灾情预测模型的拟合方程。

The results of the comparative experiment made on three complex data sets from the machine learning library show that this new approach outperforms many other instance based learning methods in aspects of the prediction power and the learning result memory requirement.

有关的对比实验结果表明，所提方法在实例预测能力以及学习结果占用空间有效性方面，均优越其它多种基于示例学习方法。

The quality of feedstock is predicted by Kalman prediction algorithm with respect to the fluctuation in its quality, and the blend recipes are obtained through online rolling optimization over the entire time horizon based on the predicted quality data.

笔者针对组分油质量的波动，采用Kalman算法预测组分油的质量，并在此基础上，通过对整个调合时域的在线滚动优化得到油品调合配方。

This paper discuss a technique, it combine together classical prediction& analysis of EMC and reality the examination data of accurate GJB standard, this technique make the estimate accuracy improved.

本文探讨将传统的电磁兼容性（EMC）预测分析技术与国军标检测数据相结合的系统EMC预测分析技术，使系统内EMC预测精度有了较大提高。

Prediction of Fracture Pressure in Scientific Search Wells with Porosity Data

利用孔隙度资料预测科学探索井破裂压力

Application of OLAP and Data-mining in The Visual Prediction System of Passing Rate in CET-4 and CET-6

OLAP和数据挖掘技术在CET-4和CET-6模拟预测系统中的应用

The observation data from automatic meteorological stations is the base values of the weather forecast and the climate prediction, and the accuracy has direct impact on the quality of weather forecast and the climate prediction.

自动气象站观测所得到的数据是制作天气预报和气候预测的基础资料，其正确与否直接影响着天气预报和气候预测的质量。

A radial basis function neural network model to data processing technique of dam safety monitoring is established. The prediction model based on radial basis function network is studied through experimental data and verified by additional data successfully.

建立了大坝安全监测数据处理坝段挠度预测的径向基神经网络模型，与通常的BP神经网络模型进行对比，并与实测结果进行校核。

It studied the design of the GRAPES model prediction module based on the data, and other modules.

论文通过研究设计了基于GRAPES模式的数据预测模块，同时设计了基于数据预测的气象发布软件的其他模块。