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。
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。
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。
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。
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。
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。
Based on the constrained conjugate gradient algorithm, a regularization preconditioned constrained conjugate gradient algorithm (RPCCG) was proposed for image-reconstruction for radiography.
针对闪光照相系统成像信噪比低的特点，提出了正则化预优约束共轭梯度算法(RPCCG)。
Based on the analysis of basic principle of electrical capacitance tomography and the image reconstruction algorithm, a conjugate gradient algorithm with optimized regularization is proposed.
在分析电容层析成像基本原理和图像重建算法的基础上，提出一种结合正则化优化修正的共轭梯度算法。
The BP network architecture applied to determine GPS standalone position is designed. Meanwhile, the conjugate gradient algorithm is used to improve the training velocity and accuracy of the network.
本研究设计了适用于GPS单点定位计算的BP人工神经网络模型结构，采用共轭梯度算法改善网络的训练速度和精度。
A new hybrid algorithm which combines the chaos optimization method and the nonlinear conjugate gradient method approach having an effective convergence property is proposed.
利用优化问题的非线性共轭梯度法与混沌优化方法相结合，提出了一种新的混合优化算法。
The conjugate gradient method is employed in developing the algorithm.
在计算方法上，采用共轭梯度法。
A phase-only direct data domain least square (D3LS) algorithm based on the nonlinear conjugate gradient method was proposed.
提出一种基于非线性共轭梯度法的唯相直接数据域最小二乘算法。
Based on the steepest descent method and the conjugate gradient method, a hybrid algorithm is proposed in this paper, and its global convergence is proved.
将最速下降法与共轭梯度法有机结合起来，构造出一种混合优化算法，并证明其全局收敛性。
This paper discussed two basic problems of conventional BP algorithm. A improved BP algorithm based on step optimum and conjugate gradient was put forword in this paper.
本文针对传统BP算法存在的两个常见问题进行了讨论，提出了基于步长优化和共轭梯度法的改进BP算法。
Experiment results show that the conjugate gradient reconstruction algorithm is robust, rapid convergent, and memory saved.
实验结果表明共扼梯度最优化迭代算法是鲁棒的、快速收敛的，并且大量节省内存。
Rapid 3D induced polarization (IP) inversions algorithm are developed using conjugate gradient (CG) relaxation techniques.
利用共轭梯度方法实现了激发极化（IP）三维快速反演。
Rapid 3D induced polarization (IP) inversions algorithm are developed using conjugate gradient (CG) relaxation techniques.
利用共轭梯度方法实现了激发极化（IP）三维快速反演。
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