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unknown data
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  未知的数据
     (2) The designed recognition model is used to program emulator, and trained the model with download data from EPD(eukaryote promoter database),then predict unknown data for model, the result indicate the building of recognition model is relatively successful.
     (2) 对设计好的识别模型进行了计算机仿真程序设计,利用从EPD(真核生物启动子数据库)下载的数据对建立好的识别模型进行了训练,然后用对于模型未知的数据对模型进行了预测,结果表明识别模型的建立是比较成功的。
短句来源
     The essence of the gray prediction model is to fit the known data sequence with an exponent form to a curve, and then extend the curve to the future in order to predict the unknown data.
     灰色系统预测模型的本质是对已知数据序列进行类型为指数形式的曲线拟合,然后将此曲线延伸到未来,由此对未知的数据做出预测。
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  “unknown data”译为未确定词的双语例句
     On the basis of the characters of finite element model of beam, the K matrix and M matrix in equation Kx=Mx are regarded as functions of some structural parameters, that is K=K(p, p,……p_m) and M=M(q, q,…,q_m) the unknown data become the structure parameters.
     本文根据直梁有限元模型的特点将特征方程KX=λMX中K、M矩阵表为若干结构参数的函数,即K=K(p_1,p_2,…p_m),M=M(q_1q,q_2,…q_m).
短句来源
     Classification is to predict the class label of unknown data with supervisor obtained from experiential data , which is a basic problem in pattern recognitionx machine learning and statistics, as well as in data mining.
     分类即通过由经验数据训练得到的分类器预测未知数据的归属,是模式识别、机器学习、统计分析等领域的一个基本问题,也是一种最常见的数据挖掘任务。
短句来源
     3. A support vector regression method based on classification is presented to solve the nonlinear regression problem with unknown data distribution and mathematical model.
     3.提出了一种基于分类技术的支持向量回归方法,解决数据分布未知、数学模型未知的非线性回归问题。
短句来源
     On the basis of dynamic state ,Model GM(1,1) sets out from the angle of the dynamic state development and evaluates the economic efficiency of each implement scheme by estimating unknown data value from the index data value at the moment, this method has the maneuverability and practicability.
     GM(1,1)模型建立在动态基础之上,根据已有指标数据值预测未知数据值,从动态发展的角度出发,对各实施方案的经济效益做出评价,该方法具有可操作性和实用性。
短句来源
     Then the inverse Eigen Equation was derived in which the unknown data are structural parameters. The stability and the condition of solution and the sensitivity of the structural parameters to eigen data a were analysed.
     从而导出以结构参数为未知量的逆特征方程,并分析了可解条件及结构参数对特征数据的敏感性等问
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  相似匹配句对
     DATA
     数据
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     On the base of the known data, the unknown data is predicted.
     利用已有实验数据和预测模型,对未知工况的实验数据进行预测。
短句来源
     The unknown coefficient of the formula is determined by using observed data.
     通过近期实测骤淤量数据,率定公式中的待定参数。
短句来源
     data sections.
     data块的DES加密过程.
短句来源
     The Unknown Brother
     失散的兄弟
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  unknown data
However, many difficulties occur if information is incomplete in databases and nulls are required to represent missing or unknown data.
      
Only those classifiers whose training clusters are most related to an unknown data instance send their outputs to the super-classifier; and (3) sub-class labelling is used to improve the classification of super-classes.
      
Thereby, positive serial dependence (persistence) and unknown data distributions impose a challenge for obtaining accurate confidence intervals for rxy.
      
In this paper we develop a method for classifying an unknown data vector as belonging to one of several classes.
      
We define database T-RFLP as the use of T-RFLP to identify individual species within samples by comparison of unknown data with a database of known T-RFLP patterns.
      
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On the basis of the characters of finite element model of beam, the K matrix and M matrix in equation Kx=Mx are regarded as functions of some structural parameters, that is K=K(p, p,……p_m) and M=M(q, q,…,q_m) the unknown data become the structure parameters. The condition of solvtion and sensitivity of the structure parameters on the eigen data are investigated.

本文根据直梁有限元模型的特点将特征方程KX=λMX中K、M矩阵表为若干结构参数的函数,即K=K(p_1,p_2,…p_m),M=M(q_1q,q_2,…q_m).从而导出以结构参数为未知量的逆特征方程,并分析了可解的条件及结构参数对特征数据的敏感性等问题.

By using fractal method the wind,wave and current design parameters with different return period for Caofeidian sea area in Bohai bay were analysed, and the fractal distributed features for wind velocity ,wave height, wave period and current velocity with different return period were given. As some data were not fully given,the unknown data can be derived by using the fractal distribution given by the known data.

用分形方法分析了渤海曹妃甸海域不同重现期的风、浪、流设计参数,给出了不同重现期的风速、波高、波周期、流速等的分形分布特征。当某些资料不全时,可用已知资料求得的分形分布来推求未知数据。

Because the digital map data base gives terrain heights for a discrete grid of (x, y) values, in the course of the optimization of the low altitude penetration path, the terrain height values as well as the derivative of terrain surface are all needed. The discrete digital map data base can not give these information. One method for estimating unknown data is to interpolate two dimensional terrain data. This paper presents two dimensional cubic convolution interpolation function. The interpolation...

Because the digital map data base gives terrain heights for a discrete grid of (x, y) values, in the course of the optimization of the low altitude penetration path, the terrain height values as well as the derivative of terrain surface are all needed. The discrete digital map data base can not give these information. One method for estimating unknown data is to interpolate two dimensional terrain data. This paper presents two dimensional cubic convolution interpolation function. The interpolation function is a third order approximation for terrain surface with a continuous third derivative. Therefore, it can satisfy the requirements of the optimization of the flight path. The simulation results show that this method has a better result than the bilinear interpolation and the bicubic Hermite interpolation.

由于数字地形数据库是以网格的形式给出网格点上的地形高度信息,在低空突防轨迹优化过程中,往往需要非网格点地形的高度信息和地形曲面的导数,这些都是离散的地形数据库所无法提供的。对二维的地形数据进行插值是解决问题的有效手段。本文提出一种二维离散数据的插值方法——二维三次卷积插值。该插值函数是地形曲面的三次逼近,具有连续的三阶导数,可以非常好地满足低空突防轨迹优化的需要。仿真结果表明,它具有比双线性插值和双立方Hermite插值更好的插值效果。

 
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