regularization

1. The existence and stability of the optimal control is established based on the parabolic regularization method and the weak convergence technique.
   用抛物正则化方法和弱收敛技巧，证明了最优控制的存在性和稳定性。
2. At the same time, the method to choose regularization parameter adaptively is given.
   同时给出一种自适应确定正则化参数的方法。
3. Regularization without transformation for bilinear problems
   应用于双线性问题的无变换正则化
4. A fast iterative method of regularization for image restoration
   图像恢复的一种快速迭代正则化方法
5. Tikhonov Regularization for Solving Ill-posed Problems
   Tikhonov正则法在解决不适定问题的应用
6. A super-resolution algorithm based on L1 norm and total variation ( TV) regularization is proposed.
   提出了一种基于L1范数和总变分规整化的超分辨率图像重建算法。
7. For a vibrating plate, the vibrating velocity is reconstructed by iterative regularization method.
   以振动平板为例，分别对简单振速分布和复杂振速分布采用迭代正则化方法进行了重构。
8. A Regularization Method and Its Convergence of Large-scale Semidefinite Programming
   大规模半定规划问题的正则化方法及收敛性
9. Study on WSN Multilateral Localization Algorithm Based on Tikhonov Regularization Method
   基于Tikhonov正则化的WSN多边定位算法研究
10. A visualization method for identifying the acoustic source is proposed based on the wave superposition method and Tikhonov regularization.
    介绍了一种基于波叠加方法的可视化声源识别技术。
11. A semi-supervised face recognition method based on manifold regularization
    一种基于流形正则化的半监督人脸识别方法
12. The techniques include extracting image edges, fitting a curve and pattern regularization.
    它包括图像边缘提取、曲线拟合、图形规则化等几部分。
13. Everybody's first book on Regularization Theory.
    每个人都该有的第一本研究正规化理论的书。
14. Nonlinear Implicit Iterative Method and Regularization GMRES Method for Solving Ill-posed Problems
    求解不适定问题的非线性隐式迭代法和正则化GMRES方法
15. A Super-Resolution Image Reconstruction Algorithm and Its Implementation Based on Regularization
    基于正则化的超分辨率图像重建方法及其实现
16. The Regularization Method Research of Ultrasound Image Resolution Enhancement
    超声图像分辨率提高的正则化方法研究
17. Most problems in image restoration are ill-posed, so regularization technique is needed to restrict the problems.
    大多数图像复原问题都具有病态性质，需要利用正则化技术对问题加以约束。
18. In this class we discuss some results and open problems related to the construction and choice of the appropriate kernel functions for Support Vector Machines and Regularization Networks.
    这堂课我们将讨论且提出有关支持向量机和调控网络建构与选择适当的核心函式运作的一些结果和问题。
19. By apriori choice of the regularization parameter respectively, the optimum asymptotic convergence order of the regularized solution is obtained.
    给出了正则参数的先验选取，并通过正则参数的先验选取证明了正则解的误差具有渐进最优阶。
20. Optimal calculation of Tikhonov regularization parameter based on genetic algorithm
    基于遗传算法的Tikhonov正则参数优化计算
21. Solving the Regularization Parameters Based on Genetic Algorithms and the Generalized Cross-Validation Criterion
    基于遗传算法和广义交叉原理求解正则参数
22. The relation between network architecture and the proposed regularization approach is unveiled.
    而网路架构与提议性正规化方法之间的关联也将在课堂中讨论。
23. Adaptive Normalization Method for Flow Pattern to Improve Performance of Tikhonov Regularization Algorithm
    流型自适应的归一化方法对Tikhonov正则化算法的改进
24. Research on the Non-classical Regularization Methods for Some Ill-posed Problems
    求解几类不适定问题的非经典正则化方法研究
25. Modified Tikhonov Regularization Method for the Cauchy Problem of the Laplace Equation
    Laplace方程Cauchy问题的修正Tikhonov正则化方法
26. Regularization of protected areas and recognition of indigenous lands are approaches which have been successfully used in this zone.
    保护区合法化和对土著居民的土地予以承认是该地区得到成功应用的两种方法。
27. Application of discrete regularization method in inverse problem of determining unknown source term in one-dimensional heat conduction equation;
    就一类典型的抛物型问题&热传导方程，研究矩形网格上质量集中有限元方法的有关性质。
28. An algorithm with regularization constrains for nonnegative matrix factorization ( RCNMF) is proposed.
    提出一种带有正则约束的非负矩阵分解算法（RCNMF）。
29. The regularization method that has been widely used in image restoration is adopted for solving ill-conditionness of the inverse problem.
    引入了图像恢复领域广泛采用的规则化方法用于处理逆问题中的奇异性问题；
30. It has pointed out that the generalization ability of neural network can be improved by using network optimization and regularization methods.
    神经网络泛化能力的提高可通过神经网络结构的优化和正则化等方法加以实现。

noun

1. the act of bringing to uniformity

   Synonym:    regulationregularisation

2. the condition of having been made regular (or more regular)

   Synonym:    regularisation