Its regularization method is given here.
文中给出了正则化求解方法。
Thestability of the solution is improved by the Tiknonov's regularization method.
通过引入正则化方法来改善解的稳定性。
In the learning process, the regularization method was used in the ordinary error function.
在学习过程中，正则化措施被使用到普通的误差函数中。
The usual methods include regularization method, iterative method, stochastic method and so on.
恢复的方法有正则化方法、迭代方法、统计方法等。
Chapter 4 introduces the regularization method theory. Its algorithm description is also given.
第4章，详细介绍了反问题的正则化算法，并给出算法模型。
The first chapter is the introduction for the entropy regularization method and penalty function method.
第一章为绪论，简单描述了熵正则化方法与罚函数法的研究现状；
This thesis analyzes the theoretics of a space-adaptive regularization method for blind image restoration.
对空间自适应正则化图像盲复原方法的理论和相应算法进行分析。
The Auxiliary Boundary Condition method (ABC method) or non-local regularization method is used in this thesis.
本文采用的是辅助边界条件方法(ABC方法)，或者非局部正则化方法。
The BPNN model of Bayesian regularization method was adopted to create the adaptivity and generalization of BPNN.
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。
Ideal experiments are also conducted to verify the effect of the regularization method on variational data assimilation.
并通过数值试验进一步肯定正则化理论在资料同化中的作用。
It is based on Tikhonov regularization method and effectively enhances the validity of the information of old Wells an...
该方法旨在提高老井测井资料信息的有效性，改善了老油区测井二次解释精度。
The regularization method for density reconstruction of axially symmetric objects using a single Xray projection is described.
论述了由单幅X射线投影进行轴对称物体密度重建的正则化方法。
Therefore, in this paper the author puts forward the regularization method for solving the magnetic and gravitational data equations.
为了保证反演结果的可靠，本文提出了一套比较可行的处理资料过程。
We will use regularization method and upper and lower solution technique to give the local existence, global existence and uniqueness results.
我们将利用正则化方法和上下解技巧给出局部古典解和整体古典解的存在唯一性。
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。
A new nonlinear structure tensor calculation method is presented. We extend the trace-based PDE regularization method to matrix-valued data fields.
提出一种新的非线性结构张量计算方法，扩展了基于迹的PDE正则化方法，使其适用于矩阵值数据场；
The aim of this thesis is to study the Regularization Method for stable solution of two inverse heat conduction problems and study their numerical implements.
本文旨在研究获得两个逆热传导问题稳定解的正则化方法及其数值实现问题。
Regularization method is effective to improve the resolution of SAR image, but the traditional iterative method for resolving the regularization model runs slow.
正则化方法是提高SAR图像分辨率的有效方法，但传统的迭代算法计算速度较慢。
The basic principle of electrical capacitance tomography system is introduced, and an image-reconstruction algorithm based on revised regularization method is also provided.
介绍电容层析成像系统的基本原理，着重介绍了一种基于正则化修正的图像重建算法；
So various methods are proposed by scholars to solve these problems, such as pulse spectrum method, the best perturbation method, Monte Carlo method, optimized and regularization method.
因此许多学者提出了各种求解反问题的方法，比如脉冲谱方法，最佳摄动量法，蒙特卡罗方法，各种优化方法和正则化方法等。
This thesis focuses on determination of parameters in a two-dimension heat conduction equation on the MPI network parallel environment, by solving an inverse problem using the regularization method.
本文是在MPI网络并行环境中，将求解二维热物性方程参数的反问题用正则化方法结合并行遗传算法进行数值求解。
In this paper, we establish the local existence and uniqueness of the solution by using regularization method. We also obtain the global existence and nonexistence. Finally, we get the blow-up rate.
本文运用正则化方法证明了一类退化抛物方程解的存在唯一性，讨论了解的全局存在性与爆破，并在一定的初值条件下得到了解的爆破速率。
Chapter 9 contains a discussion of the Parzen Windows method within the framework of Regularization Theory.
本书的第9章涵盖正规化理论架构中巴尔森窗式法的讨论。
The method is based on the regularization technique, solving the constrained optimization by proposed iteration steps.
该方法利用正则化技术，通过迭代运算解求重建影像的最优解。
This paper establishes dynamic forward feedback correction model with the method of combining Bayes regularization and BP neural network.
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。
To obtain a stable solution, in our method, successive approximation process is constrained by prior histogram and laplacian regularization.
为了获得稳定而满意的解，我们采用直方图约束下的正则化方法对连续近似迭代进行约束。
To obtain a stable solution, in our method, successive approximation process is constrained by prior histogram and laplacian regularization.
为了获得稳定而满意的解，我们采用直方图约束下的正则化方法对连续近似迭代进行约束。
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