• Local convergence and local superlinear convergence rate are proved.

    证明了方法的局部收敛性和局部超线性收敛性。

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  • Finally, the convergence rate estimate of global convergence GA is obtained.

    得到了全局收敛GA的收敛速度估计。

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  • The CCAB algorithm of DBF has high convergence rate in the case of relatively high SINR.

    数字波束形成算法中,CCAB算法在较高信干噪比条件下具有一定优势。

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  • We also prove that the method has superlinear convergence rate under some mild conditions.

    另外在较弱的条件下,证明该方法具有超线性收敛性。

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  • We estimate the convergence rate of this method and give its monotone convergence theorems.

    我们对这类算法的收敛速率做了估计,最后还给出了其单调收敛定理。

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  • The convergence rate of deterministic signal is slower than the one of uncorrelated signal.

    确定性信号的收敛速率慢于不相关信号的速率。

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  • The formulas for the convergence condition, convergence rate and misadjustment are derived.

    结果证明,本文所推导的公式与实验情况基本吻合。

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  • It is shown from an illustrative example that the convergence rate of the algorithm is higher.

    通过一个实例,说明此算法收敛速度较快。

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  • In this paper an iterative solution with linear convergence rate is presented for linear system.

    本文给出一种线性收敛的线性方程组迭代解法。

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  • The strong convergence of sample autocorrelation is proved, and the convergence rate is obtained.

    证明了样本自相关函数的强收敛性,并得到了强收敛速度。

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  • Specifically, the convergence rate of coefficient estimate is obtained in constant amplitude case.

    特别地,对于常数振幅情形,得到了多项式系数估计的强收敛速度。

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  • By means of analysing the global error bound, we prove that the method has a R-linear convergence rate.

    借助于全局误差界的分析,证明了所提方法具有R -线性收敛速度。

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  • When forecasting, it may simplify the model by means of load classification to raise the convergence rate.

    为提高训练的收敛速度,预测时,可通过将负荷分类的方式简化模型。

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  • Using "temperature-raising" strategy, convergence rate and training speed of the algorithm are greatly improved.

    结合升温策略,算法在优化精度和训练速度方面有较大的改善。

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  • Some weak and strong convergence theorems are proved and the estimation of relative convergence rate is obtained.

    证明了一些弱收敛和强收敛定理,并给出了相对收敛率的估计。

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  • Experiment results showed the algorithm had fast convergence rate and excellent on-line classification performance.

    结果表明,该算法有较快的收敛速度,网络的在线分类性能良好。

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  • S-R algorithm has the advantage of accurate estimation of FPN, fast convergence rate and low computational complexity.

    算法具有噪声参数估计精度高、收敛速度快和计算复杂度低等优点。

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  • The iteration formula in the CST is corrected, which increases the convergence rate considerably at lower frequencies.

    把对比源截断法中的迭代公式修改后,可明显加速在低频的收敛。

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  • The ILS algorithm had the strength of accurate estimation of FPN, fast convergence rate and low computational complexity.

    ILS算法具有噪音参量估计准确度高、收敛速度快和计算复杂度低等优点。

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  • Results This model has the strong capability of noise immunity, quick convergence rate and powerful ability of global search.

    结果具有很强的抗噪声能力,且收敛速度快,全局搜索能力强。

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  • Recent studies on Generalized Congruence Neural Network (GCNN) show that the convergence rate of GCNN is faster than that of BP network.

    有关广义同余神经网络(GCNN)的初步研究表明,相对于普通BP网络,GCNN具有很快的收敛速度。

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  • In the MCMA, adjusting the scale coefficients of two gradient vectors can improve the convergence rate and reduce residual mean square error.

    调整该算法中两个梯度矢量的比例系数,可提高该算法收敛速度、减少收敛后的均方误差。

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  • Several operations such as crossover and mutation are combined so as to improve the convergence rate in the process of parametric estimation.

    方法中引入几种交叉和变异算子同时操作,大大提高了辨识效率和辨识精度。

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  • The parallel processing with two networks are used to improve the network convergence rate and approximate Wiener solution via postprocessing.

    采用两个网络并行处理的方法提高了网络收敛速度,通过后续处理逼近维纳解。

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  • Besides the smoothness of the control law, the design procedure is very simple and the convergence rate of each state can be specified apriori.

    该方法优点是控制律光滑并且设计过程简单,系统每个状态的收敛率可被事先确定。

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  • It is discovered that convergence rate with asymptotical optimality for the proposed EB test can arbitrarily approach to 1 under certain conditions.

    并发现对所提出的EB检验,在某些条件下,具有渐近最优性的收敛速率,能够任意接近于1。

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  • The convergence rate of subspace iteration method used to compute eigenvalues problem is confined when the distribution range of eigenvalues is large.

    而求解特征值问题的子空间迭代法,当矩阵的特征值的分布范围较大时,其收敛速度会受到限制。

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  • Then some defects such as slow convergence rate and getting into local minimum in BP algorithm are pointed out, and the root of the defects is presented.

    分析了BP算法的基本原理,指出了BP算法具有收敛速度慢、易陷入局部极小点等缺陷以及这些缺陷产生的根源。

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  • Sequential quadratic programming (SQP) method is an efficient method for solving smooth constrained optimization problems because of its fast convergence rate.

    由于序列二次规划(SQP)算法具有快速收敛速度,所以它是求解光滑约束优化问题的有效方法之一。

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  • Sequential quadratic programming (SQP) method is an efficient method for solving smooth constrained optimization problems because of its fast convergence rate.

    由于序列二次规划(SQP)算法具有快速收敛速度,所以它是求解光滑约束优化问题的有效方法之一。

    youdao

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