An iterative conjugate gradient algorithm is used in all cases.
同时，还可使用迭代的预条件双共轭梯度算法进行计算。
Natural gradient algorithm is one of the most important algorithms.
自然梯度算法是其中非常重要的算法之一。
Moreover, modified LMS gradient algorithm does not much increase t...
均衡器系数调整的运算量也没有太多的增加。
By using gradient algorithm, the global convergence of the cost-function can be guaranteed.
本文证明了使用梯度算法，新价值函数的全局收敛性能得到保证。
In this paper, a simple gradient algorithm of ICA is developed using minimum mutual information.
本文基于互信息极小提出了ICA的梯度算法。
The basis vectors of the natural images were obtained by using fast conjugate gradient algorithm.
丈中利用双梯度算法对自然图像的基向量进行迭代学习。
However, the performance of variable step-size natural gradient algorithm is still less than ideal.
然而，变步长自然梯度算法性能仍然不够理想。
The decreasing gradient algorithm and chaos algorithm both have shortcomings for optimization problems.
梯度下降法与混沌优化法均具有各自的缺点。
This paper describes the basic theory of blind source separation and natural gradient algorithm in detail.
本文在介绍了盲源分离的基础理论的基础上，对自然梯度算法进行了详细的介绍。
Even the simplest gradient algorithm is effective and stable when there are noises or algorithmic parameters...
最简单的梯度下降算法通常在参数变化和有噪声时也很稳定，有效。
Consider the typical problem of blind source separation, natural gradient algorithm using blind signal separation.
考虑典型的盲信源分离问题，用自然梯度算法实现盲信号分离。
The convergence of the gradient algorithm for feedforward neural networks with one output unit has thoroughly studied.
对于单输出前馈神经网络的梯度算法的收敛性已经有了详细的讨论。
In addition, two coordination frameworks were proposed corresponding to the two implementing ways of sub-gradient algorithm.
此外，相应于次梯度算法的实现方式，提出两种分布协调结构。
One kind of alternant gradient algorithm for improving the training of Radial Basis Function (RBF) neural network is proposed.
提出一种交替梯度算法，对径向基函数(RBF)神经网络的训练进行改进。
This paper puts forwards a stable IIR adaptive filter, along with the nonlinear gradient algorithm concerning its coefficient iteration.
提出一种稳定的IR自适应滤波器，并给出了系数迭代的非线性梯度算法。
The new algorithm uses the quadratic conjugate gradient algorithm (QCGA) to solve the forward-backward linear prediction matrix equation.
本算法用自适应算法，二次型共轭梯度算法，解前后向预测构成的矩阵方程。
An artificial neural network algorithm, based on variable slope BP algorithm and conjugate gradient algorithm, is presented in this paper.
在常规算法的基础上，提出了一种基于变斜率算法与共轭梯度算法的接力逆向传播算法。
In the algorithm, the phase gradient algorithm (PGA) was performed, and the signals of multiple scatters on a few range bins were utilized.
该算法采用了相位梯度算法(PGA)的处理结构，利用了多个距离单元上的散射点信号。
If the scatter selected in phase gradient algorithm(PGA) algorithm is not isolated, the accuracy of the phase error estimation will be degraded.
当相位梯度算法挑选的散射点不是孤立散射点时，导致相位误差估计的准确性下降。
We apply the popular trust region algorithm and truncated conjugate gradient algorithm with trust region skills to solve trust region subproblems.
应用目前流行的信赖域算法，并用带有信赖域技巧的截断共扼梯度法来解信赖域子问题。
The restored image obtained by using the space domain conjugate gradient algorithm is too smooth and loses some information about the edge detail.
基于空间域共轭梯度算法的盲目图像复原方法由于在复原过程中追求了充分平滑，使得复原图像中的边缘细节信息有所损失。
An adaptive conjugate gradient algorithm based on subband decompsition structure was proposed for acoustic echo cancellation in communication systems.
针对通信系统中的声学回声干扰问题，研究了一种快速收敛和有效的自适应回声抵消算法。
Based on gradient algorithm and the fundamental approximation of feedforward network, a new supervised comprehensive training mechanism is put forward.
基于梯度算法和前馈网络所具有的普遍近似性质，提出了一种新的监督型多目标系统化训练机制。
This paper proposes one kind of alternant gradient algorithm for improving the training of RBF neural network, which is applied to short-term electric load.
提出了一种交替梯度算法对径向基函数(RBF)神经网络的训练方法进行改进，并将之运用于电力系统短期负荷预测。
So we present an adaptive improved natural gradient algorithm, which use an appropriate estimation function to control the step-size and the momentum factor.
所以我们又给出一种自适应修正自然梯度算法，用一个合适的距离测度函数来控制步长和动力因子。
Moreover, an improved conjugate gradient algorithm is used to train the network and to overcome the shortcoming of easily trapping into local minimum points.
网络训练时采用共轭梯度学习算法并对此算法进行了改进，有效的克服了梯度学习算法容易陷入局部极小的缺点。
In the natural gradient algorithm, the convergence speed and stability error are two important indicators, but these two indicators are of inherent contradictions.
自然梯度算法有收敛速度和稳定误差两个重要指标，然而这两个指标存在内在的矛盾。
Concerned with the training process and accuracy, the LM algorithm is superior to conjugate gradient algorithm and a variable learning rate back propagation (BP) algorithm.
就训练次数与精确度而言，它明显优于共轭梯度法及变学习率的BP算法，适用于系统辨识。
Concerned with the training process and accuracy, the LM algorithm is superior to conjugate gradient algorithm and a variable learning rate back propagation (BP) algorithm.
就训练次数与精确度而言，它明显优于共轭梯度法及变学习率的BP算法，适用于系统辨识。
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