将该结论用于正则化模型的求解可以显著降低计算量，由此得到了正则化迭代算法的简化计算方法。
According to the conclusion, a new approach to solve the regularization model was obtained, and it could significantly simplify calculation.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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…
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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