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。
In traditional approach, people use l_2 -norm to measure data approximation item and regularization item in regularized image restoration and super-restoration in spatial domain.
在传统的空间域正则化图像复原或超分辨率图像复原方法中，是用向量2-范数度量数据逼近项和正则项。
A hybrid learning approach is presented in which genetic algorithms are used to optimize both the network architecture and the regularization coefficient.
提出了一种利用遗传算法优化前向神经网络的结构和正则项系数的混合学习算法。
This approach not only remarkably minimizes the metal spattering, but also results in regularization of particle transfer, increases the stability of welding process and improves the weld shape.
这个方法不仅明显地减少了金属飞溅，而且也使熔滴过渡规律化，增强了焊接过程的稳定性，改善了焊缝成形。
According to the conclusion, a new approach to solve the regularization model was obtained, and it could significantly simplify calculation.
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.
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。
应用推荐