收敛性的

The merits of RGA consist in the efficiency, stability and controllability of local convergence.

RGA的价值体现在局部收敛的高效性、稳定性和可控制性。

According to theoretical analysis, it is convergent and has good convergence if the coefficient matrix is a nonsingular matrix. Moreover, examples have been implemented on HP rx2600 cluster, and the data verify that the numerical results of this algorithm coincide with its theoretics.

在理论上，算法只要系数矩阵A是非奇异矩阵就能够收敛，而且有较好的并行性，在HPrx2600集群上进行数值试验，验证了算法的计算结果与理论相一致。

The result of simulation shows that these three kinds of method have much more quick constringency ratio and high precision than traditional method, which provides the important theory to real-time realization of neural network for nonuniformity correction.

仿真实验表明这三种方法较传统的随机给定法训练收敛速度快、精度高，为神经网络非均匀性校正法走向实时实现提供了重要的理论参考。

It is shown by the analysis of its time complexity and completeness as well as the numerical experiment that the proposed algorithm can achieve the goal of completeness and rapid convergence.

对算法进行的时间复杂度和完备性分析以及数值实验表明，基于遗传算法的粗糙集属性约简算法具有完备、快速收敛等特点。

The mixed method raise the convergent rate of the conjugate gradient method, and solve the problem which the steepest descent method can not solve in the condition with badly characteristics for the objective function.

混合算法既提高了共轭梯度算法的收敛速度，又解决了目标函数"性态不优"时，最速下降法难以求解的问题。

It is proved by the theoretical analysis and simulation result that the method can avoid the complicated mathematical analysis of the object and has the features such as fast convergence and strong robustness

理论分析与仿真结果表明，该算法可避免对受控对象做复杂的数学分析，具有收敛速度快，鲁棒性较强的特点。

The quasi-Newton recursive prediction error identification method has suchproperties as fast convergency,unbiasedness and numerical robustness.L.

预报误差的高斯一牛顿迭代法具有收敛快、无偏性和数据稳定性好的特点。L。

In an appropriate condition,the βn,σn of their asymptotic normalities and the gn of optimal weak convergence rate were obtained.

在适当的条件下，得到^βn，^nσ的渐近正态性和^gn最优弱收敛速度

A filtered-X subband precompensation approach is presented, which controls the delay, increases the convergence rate and reduces the computational complexity. In addition, the neural network is used to model the non-linear noise.

此外，利用神经网络来精细模拟实际噪声的高度非线性性，提出模糊归一化收敛步长调整方法以控制开环方案带来的额外误差能量，并给出了数学证明。

The simulation results show the proposed method has sparser and faster convergence than others.

实验结果表明，本文算法相比其它独立成分分析算法，具有更好的稀疏性和更快的收敛速度。

This one mode pays close attention to network credence foundation of the businessman very much.

这一模式非常关注商人的网络信用基础。

Cell morphology of bacterial ghost of Pasteurella multocida was observed by scanning electron microscopy and inactivation ratio was estimated by CFU analysi.

扫描电镜观察多杀性巴氏杆菌细菌幽灵和菌落形成单位评价遗传灭活率。