并用算例用基于准梯度向量的准梯度法、准共轭梯度法和变尺度法求解有功优化潮流。
The optimal real power flow is computed on the basis of the quasi-gradient vector by means of gradient method, conjugate gradient method and DPF method.
本文将数学规划法与优化准则法有机地结合起来，导出了一种新的优化方法——变尺度梯度投影法。
A new nonlinear optimization method called variable metric gradient projection method is presented. It is a combination of mathematical programming with optimality criterion.
研究了求解无约束极值问题的DFP变尺度法和FR共轭梯度法的关系问题。
In this paper, the relationship of DFP variable metric method and FR conjugate gradient method is investigated.
在一般双共轭梯度法的基础上，本文利用广义变分原理对内积进行了重新定义，使双共轭梯度法求解复线性方程组更为有效。
Based on biconjugate gradient method, we redefine inner products using general variation principle, which can make complex linear equations solving have high-performance.
通过离线的迭代算法生成高精度的样本点来训练神经网络，使用动量法、变学习率法和共轭梯度法提高BP网络的收敛速度。
Methods based on BP neural network and RBF neural network were studied to solve inverse kinematics. The training samples were obtained through off-line numerical method with high precision.
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。
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.
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