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。
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。
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。
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