1、Chapter 4 introduces the regularization method theory. Its algorithm description is also given.
第4章，詳細(xì)介紹了反問(wèn)題的正則化算法，并給出算法模型。

2、The Development of APEC Regularization and the Analysis on its Necessity
APEC的制度化發(fā)展及其必要性探析

3、Regularization control on designing and constructing for HTR 10
HTR-10 設(shè)計(jì)建造的規(guī)范化管理

4、An algorithm with regularization constrains for nonnegative matrix factorization is proposed.
提出一種帶有正則約束的非負(fù)矩陣分解算法(RCNMF)。

5、A brief, somewhat unorthodox, review of Regularization Theory is presented.
一開(kāi)始我們會(huì)多多少少非正統(tǒng)地簡(jiǎn)要的回顧一下正規(guī)化理論。

6、The usual methods include regularization method, iterative method, stochastic method and so on.
恢復(fù)的方法有正則化方法、迭代方法、統(tǒng)計(jì)方法等。

7、Its regularization method is given here.
文中給出了正則化求解方法。

8、Based on idea of homotopy mapping, an improved gradient regularization algorithm was developed.
基于同倫映射的思想，改進(jìn)了求解非線性反問(wèn)題的梯度正則化算法。

9、Thestability of the solution is improved by the Tiknonov's regularization method.
通過(guò)引入正則化方法來(lái)改善解的穩(wěn)定性。

10、Bayes' regularization raises the ability to extend of BP neural network.
貝葉斯正則化方法提高BP神經(jīng)網(wǎng)絡(luò)的泛化能力。

11、At the same time, the method to choose regularization parameter adaptively is given.
同時(shí)給出一種自適應(yīng)確定正則化參數(shù)的方法。

12、A-SMOOTH REGULARIZATION OPERATORS
A-光滑正則化算子

13、I regularize the image space using two different regularization schemes.
余正規(guī)化的形象空間使用兩種不同的正規(guī)化建設(shè)計(jì)劃。

14、Regularization of DTI images based on gaussian-MRF
基于Gaussian-MRF的DTI圖像的正則化

regularization翻譯