预测对象

在对主要预测对象土地价格进行分析计算时，应用并改进了神经网络的CMAC算法。

When analysis and calculate the land price of the main predict object , CMAC arithmetic of network method was used and improved .

基于模糊预测对象的证据权方法及其在土地沙漠化评价中的应用

Weights of Evidence Method Based on Fuzzy Training Layer and Its Application in Desertification Assessment

不同工区和不同储层对所预测对象敏感的地震属性是不完全相同的。

Different work area and different reservoir predicted by the object on the sensitive seismic attributes are not identical .

然而，在实际地震勘探中，地震属性与所预测对象之间的关系往往非常复杂。

However , in the real seismic exploration , relationship between seismic attributes and the predicted objects is always very complicated .

在预测对象曲线图中要释放的具体资源时请设定具体的预期，然后进行验证。

Have concrete expectations for when you expect specific resources in the object graph to be freed , and then verify them .

对卷烟需求进行定性和定量分析，针对不同的预测对象和内容，建立起合适的预测模型。

Made qualitative and quantitative analysis of cigarette demand , and according to different types of prediction contents , establish appropriate models .

本研究采用的是个案访谈法，选定预测对象3人，正式研究对象10人。

The research adopts individual cases study by interview , making selection of 3 people as predictive objects , and 10 formal research objects .

即使在相同工区的同一储层中，如果预测对象不同，对应的敏感地震属性也是有差异的。

Even in the same reservoir of the same work area , if the predicting object is different , the corresponding sensitive seismic attributes is different .

因此，如何根据特定的预测对象选择适当的预测方法，是经济预测工作获得成功的关键。

The key which makes the economic forecasting successful is how to select suitable forecasting methods in terms of the circumstances which a given forecast object is in .

但是，由于有些预测对象的复杂性、预测所需信息的不完备性以及对模型设定形式的敏感性，导致采用单个预测模型对其进行预测风险较大。

But as a result of the complexity of some forecasting object , limited information resources and sensitivity to hypothesis , traditional individual forecasting models have some shortcomings .

这种方法在地质条件比较理想、待预测对象比较简单、所采集的原始地震数据信噪比较高的情况下，效果比较好。

When geological conditions are ideal , or objects to be forecasted are relatively simple , or the raw seismic data collected has high SNR , this approach can works well .

论文以长兴电网作为预测对象，应用基于神经网络考虑实时气象因素的短期负荷预测新模型进行短期负荷预测。

As changxing power gird to forecasting object , use a new artificial neural network ( ANN ) based short-term load forecasting model considering hourly weather factors model on short-term load forecasting .

预测对象千千万万，预测方法种类繁多，不同的预测对象适用不同的预测方法，所以，对预测方法本身的研究就成为预测研究的重要内容之一。

There are various forecasting objects and methods , but different methods are suitable to different objects . Therefore the study of forecasting itself is one of important contents in forecasting research .

它或者能解释特定现象的现实状态，或者能预测对象的未来状态，或者能提供处理对象的最优决策或控制。

It can explain the state of certain phenomena in reality , or can predict the future state of the object , or it can provide the optimal treatment decision-making or control .

根据预测对象自身的结构特性，本文建立了投影寻踪自回归模型和基于神经网络的投影寻踪自回归耦合模型。

On the basis of structural characteristic of projection sample , projection pursuit auto regression model and projection pursuit auto regressive based on error back propagation model has been presented in this paper .

提出根据预测对象数据自身的相似度，采用动态聚类方法对预测对象进行初始状态划分，确定初始状态概率和状态转移概率矩阵，进行马尔可夫预测的方法。

Proposes a method of Markov for compartmentalizing the original state of forecasting object based on method of dynamic clustering by resemblance degree of data own and solves the original state probability and the condition transition probability matrix .

但随着社会的发展，预测对象受到愈加错综复杂的因素影响，显然，缺乏灵活性及无法自学习的组合预测方法已经不能对复杂环境下的事物做出较为准确的预测。

But with the development of our society , the forecast object is affected by lot of intricate elements . Obviously , those combined forecast models which are short of flexibility and self-learning can not forecast the object in complex environments accurately .

由于地震属性与所预测对象之间的关系是复杂的，因此不同储层对预测对象敏感的地震属性是不完全相同的。

In the light of the complicated relationship between the seismic attribute and the object predicted , the seismic attribute of the different work area and the different reservoirs which is sensitive ( or the most effective , the most representative ) to the predicted object is not completely identical .

此外，应用聚类分析法根据诸多影响因子与预测对象之间数据分布情况，筛选出最优影响因子，合适影响因子的选择对于提高预测模型的预测精度具有较高价值。

In addition , it can select the optimal influencing factor by applying the cluster analysis method according to the data distribution between the several influencing factors and the forecasting object and the choice of the factor has a high value to improve the prediction accuracy of the prediction model .

Rough集理论着重研究信息系统，特别是决策表的知识约简问题，以获得更简洁的信息表示，或用于预测未知对象决策属性的有用的规则。

Rough Sets theory emphasize the research on the knowledge reduction for information system , especially for decision table , to obtain concise representations of information , or useful rules for predicting decision values of unknown objects .

以陀螺仪漂移误差系数时间序列预测为对象，研究并提出了遗忘因子最小二乘支持向量机算法。

A forgetting-factor least square support vector machine ( FFLSSVM ) algorithm was given in the paper .

结果表明气候预测的对象必须是要素的时间平均场。

The results demonstrate that climate prediction can be made only if the time average is taken .

可能会出现存储空间分配不足或超额分配的情况，因为很难预测数据库对象的空间需求。

A storage space may become under-allocated or over-allocated because of the difficulty in predicting the space requirements of database objects .

半定量仿真可以充分利用定性、定量信息预测仿真对象的状态行为。

The main idea of semi-quantitative simulation is to fully utilize qualitative and quantitative knowledge of system to predict the behaviors of system .

设计一种新的软件度量方法&系统对象点，通过用例模型计算子系统复杂度，并与预测性对象点结合，从整体角度度量系统。

System object points can be used as the estimation criterion for scale and workload of software , they have the property of small deviation .

决策树通常用于预测数据对象的类标识，而回归问题经常解决线性问题。

Decision tree is often applied for predicting the class label of data objects and regression model is usually applied in the course of linear problem .

最活跃的方向就是挖掘与预测移动对象路径与关联交易，大部分的研究都集中在从移动行为日志中挖掘移动模式。

It is the mining and prediction of mobile movements and associated transactions that is one of active topics . Most studies have focused on the behavior of the log to mine the mobile patterns .

运用收益法进行房地产评估时，必须在获得相关可靠信息的基础上，准确地预测评估对象的年纯收益并采用合理的方法测算出折现率，才能对评估对象客观合理价格作出正确的判断。

When capitalized earnings method is used to value estate assets , Special attention should be paid to some factors . These factors are reliability of relative data , forecast of net income and rationalization of discount rate .

这些低于平均值的人更倾向于肥胖，并且有肠道感染。通过观察几种特定细菌，研究人员能预测研究对象是不是属于微生物低种类组。

And members of this group were more likely to be obese and to suffer from gut inflammation . By looking for only a few specific bacteria , researchers could predict whether a subject fell into the low-diversity group .

通过空间对象动态行为可视化表达能真实的模拟地理对象行为的时空变化过程与变化规律，预测地理对象行为的变化趋势，更直观地表达空间信息。

According to the visualized expression of spatial object 's Dynamic behaviour , we can simulate the Time-spatial change process and regulations factually , and predict the changing trend of geography objects ' behavior , and also express the spatial information visually .