查询词典 prediction

Errors arise because the anthropometry or other motion characteristics of a subject, for which the prediction is to be made, may differ from the data from which the prediction model was derived.

错误的产生是因为人体计测或其他受试者其独特的动作，因为这样，这样的预测也许会在资料间造成差异。

We developed an analytic resolution of 2-D azimuthal prediction and a least square method for 3-D azimuthal prediction.

提出了基于二维多方位预测的精确解法和基于三维多方位预测的最小二乘法。

The results of prediction agree well with the experimental ones. It proves that the thermo-mechanical analysis、the neural network models of flow stress and microstructure as well as the numerical simulation system developed combining coupled thermal-mechanical rigid-viscoplastic FEM with BP neural networks are reliable to describe the hot back extrusion process of Ti15-3 alloy truly. The simulation system has good prediction capacity for the microstructure evolution of Ti-15-3 alloy during hot backward extrusion and after solution treatment. It can be used to replace the experiments for predicting the flowing laws and the distribution of microstructure.

由此证明，本文的热力耦合理论分析、流变应力及显微组织的神经网络预测模型以及采用三维热力耦合刚粘塑性有限元与三层向后传播的人工神经网络相结合的方法开发的Ti-15-3合金筒形件热反挤成形的显微组织数值模拟系统是可靠的，能够真实地描述Ti-15-3合金热反挤工艺过程，并对其反挤成形及固溶处理后的显微组织具有很好的预测能力，可以被用来代替预测其反挤成形规律和组织分布情况的试验。

The analyzer coupled with partial least square discriminant analysis has been successfully applied to prediction for blackheart pear. The measurement speed is three pears per second and the prediction accuracy rate is 96%.

以鸭梨黑心病为例，将该分析仪用于水果内部品质分析，检测速度达每秒钟3个，判别准确率为96%。

But the uncertainty of instruction flow branch behavior affects the fully development of the pipelines performance, which is solved with the appearance of branch prediction to great extent. Excellent branch prediction technology, which can effectively improve the efficiency of fetching instruction of micro-processor, is the basic guarantee of the improvement of micro-processor.

但指令流分支行为的不确定性影响了流水线性能的充分发挥，分支预测技术的出现在很大程度上解决了这一问题，良好的分支预测技术能有效地提高微处理器的取指效率，是微处理器性能提升的基本保证。

Although the panel logit models verify the effects of the explanatory variables consistently with the theory, the prediction accuracy is not as good as that of neuro fuzzy. In addition to the better out-sample prediction accuracy, neuro fuzzy also provides a more detailed and complicated relationship among the variables through the rule base mid 3-dimension graphics, which could be used for further theory development or modification Overall, the banking crises ca be predictable; however, each country needs different forecasting model. The mapping between the forecasting model mid data set characteristics ca be further developed for the future research.

实证结果显示，虽然Panel Logit之固定效果与随机效果模型皆验证了过去理论上各变数对银行危机之影响方向，但整体而言，其预测准确度并不比类神经模糊好；而类神经模糊除了提供更准确的样本外预测之外，其所建构的规则库与3D图提供较以往更为细腻的变数关系，此关系可作为未来理论发展之基础；整体而言银行危机可以被有效的预测，然而单一国家的预测结果显示不同的国家适用不同的预测工具，没有一项工具能够适用於所有的国家；而资料集属性与预测工具之对应关系可作为未来之研究方向。

On this basis the design of the AVS intra prediction hardware decoder module and a reconfigurable intra prediction method of calculating the unit realize.

在此基础上设计了AVS帧内预测解码模块的硬件实现，并提出了一种可重构的帧内预测计算单元的实现方法。

This study is to give a solution for the estimation of flash point for mixtures, the necessity for classification of flammable liquids. The traditional models for predicting flash point of mixtures usually by the activity coefficient approach. However, the parameters of activity coefficient were regressed from phase equilibrium data in the literatures. If there is no such parameter in literatures for the desired mixture, the model cannot predict the flash point oft hat mixture. Thus, this research aims at the improvement of deficiency of the flash point prediction models in the literatures by useing UNIFAC (Universal Quasi-chemical Functional Group Activity Coefficient) equation, Dortmund-UNIFAC equation and Lyngby-UNIFAC equation. In this study, we were aim at the prediction model for miscible mixtures.From the result, it is suggested to use different type of UNIFAC equation to estimast activivity coefficient in the predition of flash point for different mixture type.

易燃液体分类的主要依据参数为闪火点值，因此本研究目的为解决易燃液体中混合物分类时所面临到的闪火点值缺乏的问题，而在过去文献中所提出的闪火点预测模式会使用到活性系数，但这些模式使用到的活性系数均需要相平衡的数据以回归其所需参数，若所欲估算闪火点的混合溶液文献上未有相关参数，则无法有效利用闪火点预测模式估算其闪火点，因此针对文献中现有闪火点预测模式的缺点，利用描述液体混合物活性系数UNIFAC (Universal Quasi-chemical Functional Group Activity Coefficient)方程式、Dortmund-UNIFAC方程式和 Lyngby-UNIFAC方程式，建立发展一闪火点预测模式，而本研究以互溶溶液为对象。

At present it is very difficult to predict all the RNA secondary structures. This paper describes RNA secondary structure prediction methods from 1970\' to this day in a systematic way some. Tracing back and following the tracks of prediction methods the author made a summary of RNA research progress and situation while a enumeration problem of RNA secondary structure is studied with the method of combinatorial enumeration.

目前所有有关RNA二级结构的预测算法要预测出所有序列的二级结构仍然很困难，本文系统介绍了从上世纪70年代以来发展至今的各类RNA二级结构预测算法，从对RNA结构预测方法的追溯和跟踪，对当今RNA研究的进展和形势做了一个总结，并且应用组合计数的技巧解决了一类RNA二级结构的计数问题。

In order to shorten wait time, prediction models are used to predict feature value, and accomplish fast response by comparison the similarity between prediction series and feature series.

为了缩短在批处理的等待时间，再利用预测模型对未来的值进行预测，通过比较预测序列与特定模式之间的相似性，来实现在线查找的快速响应。

If you are unfortunate enough to the lovelorn, please tell me, I will help you out, really, please contact me!

如果你不幸失恋了，请告诉我，我会帮助你摆脱困境，真的，请联系我啦！

China's plan to cut energy intensity by 20 percent and pollutant discharges by 10 percent between 2006 and 2010 is a case in point.

中国计划在2006年到2010间降低20%的能源强度和减少10%的主要污染物排放，就是一个这样的例子。