Its regularization method is given here.
文中给出了正则化求解方法。
Bayes' regularization raises the ability to extend of BP neural network.
贝叶斯正则化方法提高BP神经网络的泛化能力。
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。
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。
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。
Based on idea of homotopy mapping, an improved gradient regularization algorithm was developed.
基于同伦映射的思想，改进了求解非线性反问题的梯度正则化算法。
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)。
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；
For the moving company in Beijing, we must pay attention to the regularization of the vehicle management.
对于北京搬家公司来说，我们在对车辆管理的时候一定要注意到正规化。
A set of local interaction field and adaptive regularizers are introduced to usual regularization theory.
在标准正则化理论中建议一类局部相互作用场和自适应正则项。
A deconvolution approach with an additive regularization term built around an minimal L1 norm is proposed.
文中在基于最小L1范数的加性调整条件下，提出了一种新的去卷积方法。
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。
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。
A new framework of mollification methods based on L-generalized solution regularization methods was proposed.
基于L -广义解正则化理论，提出了一个新的磨光方法的框架。
It covered a wide range of issues related to land regularization programmes in both private and public areas.
它从宽泛的范围覆盖了有关在个人和公众区域的土地规划项目的问题。
By apriori choosing regularization parameter, optimal convergence order of the regularized solution is obtained.
通过适当选取正则参数，证明了正则解具有最优的渐近收敛阶。
The cohesive energy, of 61 metallic crystalloid is predicted by using Bayesian-Regularization neural networks(BRNN).
采用贝叶斯正则化神经网络（BRNN）对61种金属晶体结合能进行了预测。
Considering the regularization effect of homotopy parameter, we adopt a two-step update scheme of homotopy parameter.
同时在分析了同伦参数正则化效应的基础上，提出一种两段同伦参数修正方法。
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。
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。
RKHS will be an essential tool for establishing a connection between Regularization Theory and Statistical Learning Theory.
RKHS是结合正规化理论和统计学理论的必要工具。
The spherical harmonic coefficients of the gravity field can be obtained from gravity gradients through regularization scheme.
重力场球谐函数系数可以通过正则化方法由重力梯度算出。
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。
In this thesis, we introduce some mathematical techniques in harmonic analysis and the regularization theory to solve this problem.
在这篇论文中，我们将引入调和分析和正则化理论中的一些数学技巧来解决这些问题。
Precision management makes rational use of this kind of psychology to promote the regularization and model of organization management.
精确管理思想合理利用了人的这种心理来促进组织管理的正规化和模型化。
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。
In this paper, a new stable band -limited signal regularized extrapolation algorithm is constructed on basis of the maximum regularization.
基于最大熵正则化构造了一种新的稳定的带限信号正则外推算法。
In this paper, a new stable band -limited signal regularized extrapolation algorithm is constructed on basis of the maximum regularization.
基于最大熵正则化构造了一种新的稳定的带限信号正则外推算法。
应用推荐