片语

MODEL&PARAMETER模拟；塑造；模仿

Model and Parameter车型及参数

model of parameter模型的参数

linear model ridge parameter线性模型回归参数

model of parameter features参数化特征造型

model based parameter estimation模型的参数估计技术

model output parameter模式输出资料

英汉例句

• this model parameter is defined simply, and the parameter all has definite physics meaning in the model, is duncan -zhang model generalization.

  该模型参数确定简单，模型中参数都有确定的物理意义，是邓肯—张模型的推广。

• the cross-validation method via parallel grid search is used to avoid blindness and randomness in model parameter selection, and the prediction precision is improved.

  采用基于平行网格搜索的交叉验证法选择模型参数，避免了参数选择的盲目性、随意性，提高了预测精度。

• based on the analysis of the two-level algorithm structure, the paper has proved that the model is a recursive simultaneous model, and the problem of model parameter recognition is resolved.

  在分析两水平算法结构的基础上，论证模型为一递推型联立模型，解决了模型参数的识别问题。

• estimation of gm(1,1) model parameter usually adopts the least square criterion, but test of model precision often uses average relative error criterion.

  估计gm（1，1）模型中的参数通常采用最小二乘準则，而在模型精度检验时又常采用平均相对误差。

• in this paper the law of coefficient of variation has been adopted to confirm decision-making model parameter of calculating;

  在确定储位分配决策模型参数计算中，采用了变异系数法；

• the modelling method of applying ansys to match model parameter according to the testing data.

  以实测动力特性参数为依据，应用ansys拟合模型参数的建模方法。

• data fusion method is better than the traditional arithmetic average value method, especially fitting for the accelerometer stationary model parameter identification.

  因此数据融合方法优于传统的算术平均值法，特别适合于加速度传感器静态模型参数的辨识。

• the calculating formulae of weighted optimum curve regression model parameter given in this paper possesses high speed of parameter correcting, high precision of fitting and obvious effect.

  本文给出的带权优化曲线回归模型参数计算公式，修正参数速度快，拟合精度高，效果显着。

• a novel method of the on line model parameter estimation based on nfi cmac is designed. numerical simulation has shown its feasibility and effectiveness.

  基于nfi-cmac，提出了一种快速、高精度的控制系统参数在线智能辨识方案，仿真实例表明了该方案的可行性与有效性。

• meanwhile, as some states can not be estimated or have poor estimation, the simplified state equation employed in the alignment process will cause model parameter uncertainty.

  同时，由于一些状态不可估计或估计效果很差，采用简化状态方程进行对準，存在着模型参数不确定性。

• based on the model parameter identification theory in inverse problem, a neural network model for constitutive law of clay under multiple stress paths is set up through artificial neural network.

  基于反问题中的模型参数辩识理论，通过人工神经网络，建立了考虑应力路径影响的粘土的神经网络本构模型。

• the factors of mos transistor in the saturation region are analyzed, the mismatch models are optimized, and the model parameter extraction is done by least squares curve fitting method.

  通过分析mos管在饱和区失配因素，优化mos管失配模型，提出用最小二乘曲线拟合法进行相关模型参数提取。

• the numerical results in model parameter estimation show that the convergence rate is improved and the calculation accords with the practical demands.

  将其应用于控制系统的模型参数估计，计算结果表明参数优化过程的收敛速度得到很大改善，符合工程实际需要。

• the spans of model parameter are analyzed in terms of reasonable shape of yield locus.

  根据屈服面的几何形状，分析了模型参数的取值范围。

• the equivalent circuit for model parameter calculation is also given, so a calculation for complicated mechanism could be simplified to a electrical circuit calculation.

  同时作出了模型参数计算的等效回路图，将复杂机械机构计算简化为电回路计算。

• the system uses associated design idea in order to realize input of flanging die model parameter and harmonious unification of structure redesign.

  采用关联设计思想，实现翻边模模型参数的输入与结构再设计的和谐统一。

• a new type of linear vibration table is brought forward, whose application to ins error model parameter separation is investigated.

  本文提出了一种新型线振动台，探讨了将其用于惯导平台误差模型参数分离的可行性。

• sensitivity analysis of model parameter was conducted in order to evaluate the effect of parameter change on model.

  并对模型参数进行灵敏性分析，评价了主要模型参数改变对模型的影响。

• the model-free control is especially useful for real nonlinear systems whose model parameter are very difficult to be identified and time varying.

  此无模型控制方法非常适用于实际的模型参数难以辨识，且是时变的非线性系统。

• the approach does not require apriori knowledge of the sign of the control gain and the upper bound and lower bound of dead zone model parameter to be known apriori.

  该方法不要求的先验知识的控制增益的符号和的上界和下界的先验已知的死区模型参数。

• the error in experimental determination of rtd derived from tracer pulse injection, digit time and response measurement, and flow model parameter estimation are discussed.

  本文分析了用脉沖法注入示蹤剂时示蹤剂的分布、时间与应答信号的测量，以及模型参数的回归等方面的种种误差。

• the adaptive grid interacting multiple model algorithm can adjust model parameter adaptively according to the target's mode, and thus realizes target tracking.

  自适应网格交互多模算法能够根据目标的运动模式，自适应调整系统各模型参数，从而实现对目标的跟蹤。

• in order to implement the parameter estimate in cable fault location system, an improved bayes algorithm used for model parameter estimate is proposed in this paper.

  为实现电缆故障定位系统的参数估计，提出了一种用于模型参数估计的改进贝叶斯算法。

• a reliability enhancement model is proposed for high-pressure heaters at a large-sized thermal power plant along with a detailed discussion of the model parameter estimation and fitting inspection.

  文中提出了大型火电站高压加热器可靠性增长模型，详细讨论了该模型的参数估计和拟合检验。