提出了一种非严格正则模型静态输出反馈PI控制器求解的算法。
An algorithm for solving the static output feedback PI controller is presented.
在客户机和服务器上使用正则表达式以维护一个统一的验证模型；
Use regular expressions at the client and at the server to facilitate a consistent validation model
运用经典的哈密顿正则方程，建立了冲击式压实机的参数化动力学模型。
The parameterized dynamic model of the impact compactor is made based on the classical Hamilton's canonical equations.
本文阐述并总结了实体造型的一些理论和关键算法，如正则集理论，基于推广的欧拉公式的表示模型，集合成员分类。
Some theories and key algorithms of solid modeling such as the theory of r-sets, representation model based on generalized Euler formulas, set membership classification are explained and summarized.
首先，我们对几何活动轮廊模型中吸引力场进行正则化，扩大目标轮廊边缘对的轮廊曲线的吸引力范围，增加轮廊曲线搜寻凹轮廊的能力。
First, we regularize the attraction force field in the geometric active contour model to extend the capture range of the object boundaries, and improve the ability of convergence to the concavities.
其基本思想是利用验前模型信息确定正则化矩阵，利用验后观测信息确定自适应因子。
The regularization matrix will be chosen by prior information of the model parameters and the adaptive factor, however, will be determined by posterior information.
根据数据目标函数、模型约束目标函数和正则化因子之间的关系，提出了两种正则化因子自适应调节方法。
Third two adaptive methods of regularized factors are put forward based on the relations of data object function, model constraint object function, and regularized factor.
数学上解决病态问题的方法是正则化，可形变模型的计算基础即是正则化。
The mathematical solution for ill-posed problems is regularization. The computational foundation for deformable models is just regularization.
针对以上问题，提出了一种引入高阶正则项约束的逆扩散变分图像增强模型。
In this paper, these shortcomings of inverse diffusion model were considered and the variational model of image enhancement coupling high order regularization term was proposed.
文中推导了采用AR模型和MA模型对多径信道建模的正则方程，提出了采用混合模型消除直达波与杂波的迭代算法。
In this paper the regular equations of ar and MA models built for multipath channels are derived, and an iterative algorithm of direct signal and multipath clutter cancellation is proposed.
针对四轮车式移动机器人的运动学模型，首先利用一个正则坐标变换，将误差系统转换为一个非线性串联系统的形式；
Aimed at the kinematic model of the car-like mobile robot with four wheels, the tracking error system is firstly transformed to a nonlinear serial system through a regular transformation.
本文根据常微分方程参数反问题的数学理论，将正交化方法同有限差分法结合用于确定水质模型参数，并与正则化方法、最速下降法和共轭梯度法作了比较。
The comparison of the calculation results show that orthogonal rule method is fast, simple and reliable, and is applicable to the calculation of the water quality modeling parameters.
基于半参数模型的GPS系统误差处理的关键之一是选择合适的正则化矩阵。
One of the crucial steps is choosing an appropriate regularizer in processing GPS systematic errors based on the semi-parametric model.
讨论了图像成像的基本模型，并提出了一种基于调整核回归函数作为正则项的序列图像重建算法。
The basic imaging model is discussed, and a novel algorithm based on steering kernel regression method as a regularization term for super resolution reconstruction of sequence image is proposed.
基于相空间重构的非线性预报思想，建立一个时滞的BP神经网络模型，采用贝叶斯正则化方法提高BP网络的泛化能力。
Based on nonlinear prediction ideas of reconstructing phase space, this paper presents a time delay BP neural network model, whose generalization is improved utilizing Bayes' regularization.
文中采用贝叶斯正则化与BP网络结合的方法，建立动态前馈校正模型。
This paper establishes dynamic forward feedback correction model with the method of combining Bayes regularization and BP neural network.
采用频域正则化求逆和小波域维纳滤波去噪的方法对已知线性降晰模型的含噪图像进行图像复原。
Image is restored which is blurred by the known linear model and noise, with the method of frequency-domain regularized inversion and wavelet-domain wiener filter denoising.
第4章，详细介绍了反问题的正则化算法，并给出算法模型。
Chapter 4 introduces the regularization method theory. Its algorithm description is also given.
第3章研究和分析了基于小波的图像复原算法，包括小波域的阈值反卷积算法、迭代正则化算法和参数模型算法。
Chapter 3 studies and analyzes the wavelet-based image restoration algorithms, including threshold deconvolution algorithm, iterative regularization algorithm and parameter model algorithm.
以径向基函数神经网络作为软测量模型，在软测量建模中引入正则化学习算法。
Using RBF (Radial Basis Function) network as the soft-sensing model, its natural to introduce regularization learning algorithm.
第二，在现有复原模型的完善上，重新构建正则化参数与正则化项，构造了新的具有空间自适应性质的正则化图像复原模型。
Secondly, to perfect the known restoring models, a new space-adaptive regularization model of image restoration is constructed by redesigning regularized parameter and regularized item.
讨论了函数系数自回归模型，在误差项服从正则变化尾的情形下，模型的概率性质。
The probabilistic properties of functional coefficient auto-regression models with regularly varying tailed are discussed.
由于混合正态分布模型是非正则的，它的参数估计及其检验都存在很多困难。
Since mixture normal distribution is the non-mixed , the estimation and test have many difficulties .
本文利用刘彦佩提出的嵌入的联树模型，得出了两类新的四正则图的完全亏格多项式，并推导出已有结果的两类图的完全亏格多项式。
In this paper, We obtain the total genus polynomials for two new classes of 4-regular graphs by using the joint tree model of a graph embedding introduced by Yanpei Liu.
使用L1或L2去惩罚大系数是一种正则化线性或逻辑回归模型的常见方式。
Applying L1 or L2 to penalize large coefficients is a common way to regularize linear or logistic regression.
文中采用贝叶斯正则化与BP网络结合的方法，建立动态前馈校正模型。
The BPNN model of Bayesian regularization method was adopted to create the adaptivity and generalization of BPNN.
根据纹理特征的局部马尔可夫性和高斯变量的条件回归之间的关系，将复杂的模型选择转变为较简单的变量选择，应用惩罚正则化技巧同步选择邻域和估计参数。
The structure of the GGM is explored by the connection between the local Markov property of texture features and the conditional regression of Gaussian random variables.
在比较收敛速度和均方差后，确定选用贝叶斯正则算法建立模型。
After speed of statistical convergence and MSE (Mean Square Error) of these algorithms are compared, Bayes Generalization algorithm is assessed to be the most appropriate.
对巨正则系综蒙特卡罗法，目前在活性炭吸附特征研究中所普遍采用的活性炭微孔模型和分子与原子之间相互作用的模型进行较为详细的介绍。
This paper introduces the GCEMC method, pore models commonly used in the simulations of adsorption on activated carbons and the fluid-fluid and the fluid - wall potential model.
两者的有机结合可以辨证地处理正则化参数和算子的选择以及先验模型的分布计算问题。
We could dialectically give the processing about choices of regularity coefficients, operators and the calculation of distributed prior-models accor…
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