预测数据

利用SVM原理将样本数据划分为两部分，通过对评价系统中的样本数据进行训练，从而得到训练模型，用所得到的训练模型对预测数据进行智能评价与分析。

Using SVM principle will sample data , divided into two parts , through to the evaluation system of the training sample data , thereby get training model , using the training model gets to forecast data of intelligent evaluation and analysis .

为了提高逼近精度，对每个子集数据进行二次曲线重建，使得预测数据点与原来的数据点更贴近进而使后续的恢复效果更好。

By re-fitting each subset of data makes forecast data closer to the original data , and recovery better .

计算两者的误差以及通过尾砂胶结充填体抗压强度的BP神经网络模型的预测数据和工程实际数据的比较。

The error and calculated both by tailings cemented filling body of compressive strength of BP neural network models predict data and actual data comparison .

经仿真分析，SVM模型90%以上预测数据的绝对误差控制在0.01MPa；

According to simulating analysis , the absolute error of 90 % forecasting data is smaller than 0 . 01 MPa .

同时，提出了在没有预置数据时使用OD矩阵预测数据。

Meanwhile , the proposed use of OD matrix when no preset data forecast data .

然后我们关注美国劳工统计局（BureauofLaborStatistics）的就业预测数据，看看2010年-2020年期间持各种热门学位的人所从事的热门工作，它们的就业增长有多快。

We then looked at the Bureau of Labor Statistics " employment projection data to see how fast employment was expected to increase between 2010 and 2020 in popular jobs held by people with each degree .

可以建立一元线性回归模型，利用企业景气指数预测数据对GDP季度累计增长率进行短期预测，预测结果可信度比较高。

Using the enterprise prosperity index , we can set unitary linear regression model to predict GDP quarterly cumulative total growth rate for short-term forecasting . The credibility of forecasting results is quite high . 4 .

气候互动组织（ClimateInteractive）计划于周一发布旗下研究人员撰写的这份分析报告，而《纽约时报》提前获得了全文。美国谈判代表和很多其他国家的政府在使用该组织的预测数据。

An analysis by researchers at Climate Interactive , a group whose calculations are used by American negotiators and by numerous other governments , is expected to be released Monday and was provided in advance to The New York Times .

网络气象服务系统NWS产生的CPU可用性预测数据精确度高、可靠有效，已广泛应用于网格环境中。

The predictions of CPU availability which are generated by the network weather service system ( NWS ) are accurate , credible and effective to grid users .

在MATLAB上分别采用多种算法对VMA和动稳定度模型进行了训练，利用神经网络的泛化能力，得到所需要的预测数据。

The VMA and the dynamic stability model were trained by some algorithms on MATLAB . we got our prediction data needed by using the generalized ability of neutral network .

利用Internet网络技术和网络开发软件，建立了浏览器/服务器应用程序结构体系，实现了棉蚜虫情数据维护、查询、统计、报表和打印等网络数据库管理和预测数据挖掘功能。

Built on Browse / Server ( B / S ) structure system , the main basic . function of database in maintaining , searching , statistic , report and print is developed with Internet technique . Furthermore , the data mining for aphid prediction is done .

在既有客流预测数据基础上，利用OD矩阵推算方法，分析了环线网络的客流特点。

O D matrix computative method is applied to analyze the passenger flow data provided by other documents then passenger flow 's characters of transit system network are worked out .

以Sybase提供的WarehouseStudio为开发平台，对朝阳供电公司原有的数据源进行重新组织，建立了供电预测数据仓库。

With the warehouse studio provided by Sybase corporation as the development platform , the data source of Chaoyang electric power supply company is reorganized and the data warehouse of power supply forecast is built .

选取不同的隐层结点数，采用相同的输入样本及预测数据进行训练和预测，并通过比较其相对误差的大小，确定了神经网络的结构，并应用Matlab语言进行了具体的建模和预报。

Different hidden layer nodes , same inputs and forecasting data were selected to train and forecast and then the relative errors were compared so as to confirm the NN structure . A model was set up and used to forecast concretely by Matlab .

首先，本论文在综合前人的研究成果基础上，对经济效益审计的实质进行了分析，明确了以EVA指标为效益审计评价指标，以统计描述预测数据作为评价指标标准；

First , on the basis of the previous research achievements , the thesis analyzes the essence of economic efficiency audit , and defines the EVA index as the efficiency audit evaluation index , and the statistic descriptive prediction data as the standard of the evaluation index .

本文研究线性预测数据外推离散傅里叶变换（LPDEDFT）超分辨成像方法，旨在突破普通的FFT距离多普勒处理的限制，提高距离&多普勒成像雷达的分辨力。

In this paper , the superresolution imaging method of the linear prediction data extrapolation and discrete Fourier transform ( LPDEDFT ) is investigated for the purpose of surpassing the limitation imposed by the conventional FFT range-Doppler processing and improving the resolution capability of range-Doppler imaging radar .

该项预测数据释放后，美元兑瑞郎略微走低，目前报价1.0295。

USDCHF was a little lower after the release , currently trading at1.0295 .

用小波和分形理论处理短期负荷预测数据

Application of Wavelet and Fractal Theory on Data Treatment of Short-time Load Forecasting

线性预测数据外推超分辨雷达成像

Superresolution Radar Imaging with Linear Prediction Data Extrapolation

供电预测数据仓库的建设

Building of a power supply prediction data warehouse

汇率趋势预测数据挖掘的数据预处理方法

A Method of Pretreatment of Data Mining on Forecasting the Trend of Foreign Currency Rate

另外，人口数据来自美国人口统计局所做的中国人口预测数据。

The demographic data is based on predicted database from US Bureau of the Census .

一般将数据挖掘分为描述数据挖掘和预测数据挖掘两大部分。

WEB MINING It generally was divided into descriptive data mining and predictive data mining .

若采用此种数据作为神经预测数据样本，将会降低预测精度。

The abnormal datas regarded the nerve forecast datas samples will debase the forecast accuracy .

世行是在本周末罗马“七国集团”财长会议召开前夕发布这些最新预测数据的。

The new forecasts precede a meeting of the G7 finance ministers this weekend in Rome .

分析了文献中高炉铁水硅含量预测数据，结果表明：评价指标选择决定预测效果的评价结论和模型选择；

Data in previous publications of forecasting silicon content in hot metal of blast furnace are analyzed .

本框架有充分的理论依据和实践基础，结构简单、灵活方便，可根据需要获取不同精度的预测数据。

This framework has sufficient theoretical and practical basis , can obtain differently precise data on demand .

采用实验室原有中值滤波技术对需预测数据进行预处理，以期得到更好的预测效果。

Through preprocessing phase after data acquisition add median filter technology , to improve the efficiency of prediction .

根据气象部门的预测数据，利用建立的回归方程，可以对当年油菜菌核病的发生程度进行预测。

Using the meteorological forecast data and the regression equation , the occurrence of Sclerotinia sclerotiorum can be forecasted .

分类回归树是基于统计理论的非参数的识别技术，它具有非常强大的统计解析功能，对输入数据和预测数据的要求可以是不完整的，或者是复杂的浮点数运算。

CART ( Classification and Regression Tree ) is a kind of non-parameter recognizing technology based on the statistical theory .