查询词典 effective convergence

It provides a theoretical basis for reliable and effective operation of the network,which is shown to be globally convergent with respect to its feasible region called quasi-convergence and to be primal in the sense that its trajectories can never escape from the feasible region.

在很一般的条件下证明了网络的总体稳定性问题，这些对于网络的可靠运行与有效运行提供了理论基础。

Landweber method of iterated regularization is effective for large scale ill-posed problems, ut the convergence speed is too slow.

Landweber迭代法是求解大规模的不适定问题的一种有效方法，但其迭代序列收敛速度是相当慢。

The reconstruction problem is ill-posed, so two optimal criterions, the least module and the smoothness criterion base on Tikhonov regularization technique, are introduced into reconstruction algorithm. Many regularization parameters choice strategies are investigated, and the TPA(Two—Parameter Algorithm) strategy which is based on the Morozov discrepancy principles, is implemented in two regularization reconstruction algorithms.Numerical experiment results show that the nonnegative and smoothness constraint condition can overcome the difficulty of iteration semiconvergent, preconditioned technique can improve convergence rate and reconstruction accuracy, smoothness regularization criterion can meliorate ill-posed problem of reconstruction and enhance iteration stability, and the TPA is an effective strategy of regularization parameters choice.

数值试验表明：在共轭梯度法中引入非负约束和光滑约束改善了迭代的"半收敛"性，非负约束保证了解的非负性，光滑约束抑制了重建解的振荡现象，约束算法的重建精度与无约束算法相比大幅度提高；在约束共轭梯度重建算法中引入预优技术，可以加快算法的收敛速度，提高迭代的稳定性和重建精度；引入光滑准则的正则化技术可以有效改善图像重建问题的不适定性，加快迭代的收敛速度，提高迭代的稳定性和图像重建质量，计算正则参数的TPA算法在闪光照相图像重建中是有效的。

The improvement can maintain the speed of the original convergence and is still effective when there are multiple root s.

对牛顿求根公式作了改进，使其对重根情况仍有效，并保持原有的收敛性

The numerical techniques developed here, including the high accuracy method of using expansions in orthogonal functions in normal direction and the effective algebraic mapping to deal with the problem of infinite region, can raise the calculation precision and the convergence velocity greatly.

文中所发展的方法，如，在法向上采用高精度的高阶谱方法和对无限区域数值问题的更为有效的代数变换处理等，提高了计算精度和收敛速度；同时，通过预估校正迭代法，使抛物化稳定性方程中重要的正规化条件得到满足，保证了数值计算的稳定。

Experiments indicate that the improved hybrid algorithm is a effective approach characterized with excellent performance and rapid convergence.

实验表明，改进的混合算法具有计算效率高、收敛速度快等特点，是一种有效的方法。

I passed many years of professional training and theory into the university to enhance knowledge, according to campaign biological mechanics, sports psychology theory, from a shot-put athletes Huabu final forceful convergence with the key elements of starting and design a closely related special training methods, and orderly portfolio formation against the strong, effective and comprehensive system as a whole marked.

本人通过多年的专业训练和进大学后理论知识的加强，根据运动生物力学、运动心理学原理，从构成铅球运动员滑步与最后用力衔接的关键要素出发、设计了与之密切相关的专项训练手段，并进行有序的组合，形成针对行强、且综合功效显著的系统整体。

On the basis of the Lyapunov stabilty theorem, the calculating method of the optimum coordinating gain on-line is put forward, which makes the algorithm stable and quick in convergence. Simulation results show that the method is effective.

根据Lyapunov稳定性定理，给出了MTS法稳定收敛的最优协调增益K的在线计算方法，大大加快了算法的收敛速度，以甲醇制甲醛生产优化控制为例，仿真结果表明，该方法是有效的。

A Multi-Species Cooperative PSO algorithm is developed using the ideas of species dividing in the bionomical world. The algorithm is shown to have guaranteed convergence to the global optimum. Furthermore, the training strategies of RBF network structures and weights based on the MCPSO aigorithm is proposed. Simulation results show that the algorithm is effective in such fields as chaotic time-sequence forecasting, system identification, speech signal processing and etc.

在分析基本微粒群算法和协同微粒群算法特点的基础上，借鉴生态学中的种群划分思想，设计出一种多种群协同进化微粒群算法，并分析了该算法的收敛性能；在分析径向基函数神经网络结构的基础上，提出了基于多种群协同进化微粒群算法的径向基函数神经网络结构和权值优化设计策略，并在混沌序列预测、系统辨识、语音信号处理等应用仿真实验中验证了算法的有效性。

The reconstruction problem is ill-posed, so two optimal criterions, the least module and the smoothness criterion base on Tikhonov regularization technique, are introduced into reconstruction algorithm. Many regularization parameters choice strategies are investigated, and the TPA(Two—Parameter Algorithm) strategy which is based on the Morozov discrepancy principles, is implemented in two regularization reconstruction algorithms.Numerical experiment results show that the nonnegative and smoothness constraint condition can overcome the difficulty of iteration semiconvergent, preconditioned technique can improve convergence rate and reconstruction accuracy, smoothness regularization criterion can meliorate ill-posed problem of reconstruction and enhance iteration stability, and the TPA is an effective strategy of regularization parameters choice.

数值试验表明：在共轭梯度法中引入非负约束和光滑约束改善了迭代的&半收敛&性，非负约束保证了解的非负性，光滑约束抑制了重建解的振荡现象，约束算法的重建精度与无约束算法相比大幅度提高；在约束共轭梯度重建算法中引入预优技术，可以加快算法的收敛速度，提高迭代的稳定性和重建精度；引入光滑准则的正则化技术可以有效改善图像重建问题的不适定性，加快迭代的收敛速度，提高迭代的稳定性和图像重建质量，计算正则参数的TPA算法在闪光照相图像重建中是有效的。

It was just a normal day of school

那只是上学的普通一天

Which is a very good reference in this issue.

这是一个在这个问题上很好的参考。