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stable convergence相关的网络例句

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与 stable convergence 相关的网络例句 [注:此内容来源于网络,仅供参考]

A stable convergence calculation method using Newton homotopy continuation method based on the non-equilibrium rate model was established.

建立了非平衡级速率模型,采用收敛性能很好的Newton同伦连续算法,在计算中合理地引入阻尼因子,建立了可稳定收敛的计算方法。

In particular, the system generates bifurcation when 2c-a=0, and then the stable knot bifurcates a hyperbolic saddle point and stable convergence, which is so-called Pitchfork bifurcation. From 2c-a≤0 to 2c-a≥0, the attracting set A of the system is changed from single point to the union set of two different old orbits.

系统在2c-a=0时产生分岔,其稳定的结点分岔出一双曲鞍点和两个稳定的汇,这就是Pitchfork分岔,可见在2c-a≤0变化到2c-a≥0时,吸引集A从单点集变成为连接P和P的两异宿轨道的并。

A new modified limiter is presented, which increases the stable convergence rate.

研究提出了一种高阶精度TVD格式的限制器,具有稳定快速的收敛特性。

It is proved theoretically that CA-PSO is endowed with stable convergence under given conditions.

理论证明,在一定条件下,CA-PSO具有稳定收敛性。

Experiments show that this method performances a faster and more stable convergence than dwMDS algorithm which is based on SMACOF algorithm.

实验表明该迭代算法收敛快速且稳定,比基于SMACOF算法的dwMDS算法在定位精度上有明显的提高。

The reformed BP held a chrematistics of fast and stable convergence speed and easy to get away from minimized area.

改进后的BP网络具有收敛速度快、稳定、易于跳出局部极小值的特点。

The proposed algorithm has advantages to the global searching ability of genetic algorithm and the stable convergence of dimidiate searching root method.

结合传统遗传算法良好的全局搜索能力和二分法可靠的收敛性,本文提出了一种改进的遗传算法-层次压缩遗传算法。

Both theoretical analysis and simulation results all show that the robust performance and the stable convergence precision of the new algorithm are remarkably better than other similar algorithms, and furthermore it is convenient to use a larger learning factor in practice.

理论分析和仿真实验的结果均表明,该算法的鲁棒抗噪声性能和稳态收敛精度显著地高于其它同类方法,而且它允许使用较大的学习因子,这对于实际应用是很方便的。

The new algorithm has better performance in stable convergence rate, convergence speed, and threshold sensitivity compared with traditional fuzzy clustering algorithm.

该算法在收敛稳定性、收敛速度、初值敏感性方面,相对于传统模糊聚类算法有了明显改善,相关实验表明,该算法具备高效、稳定的工程应用价值。

The results show that the present convergence rate of the India plate is 21.8 mm/a with a dipping 8.1°to the north. This is in good agreement with various geologic predictions of 18mm/a in past 2~3 million year implying a stable convergence rate of the India plate in a very long duration.

本文 结果与从地质推断的在过去2~3Ma时期内,印度板块向欧亚大陆俯冲速率平均为18mm/a,有较好的一致性,表明在较长时间内,印度板块向欧亚大陆俯冲的速率仍然是稳定的。

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