发现正则动量与空间相的梯度成正比。
It is found that the canonical momentum is directly proportional to the gradient of space phase.
使用湍流梯度测试资料，对植物冠层动量交换特征进行了详细研究，结果表明；
Using observational data of the turbulent gradient, exchange characteristics of the momentum in the plant canopy layer (CL) are studied in detail.
结果表明，在自由振动后的尾迹中，湍流脉动引起的能量输运能力比动量输运能力强，湍流的梯度输运假设与实验结果符合较好。
It has been proved that vortices transport heat more effectively than momentum, and gradient transport assumption is found to be valid for the turbulence field.
在零压力梯度下，这个局部的动量损失几乎是一个附加的常量，而逆压梯度则会扩大这种动量损失。
In zero pressure gradient flow, this local momentum loss is Minost an additive constant quantity. On the other hand, adverse pressure gradient results in amplification of this momentum loss.
进而给出了在梯度一定的条件下，所提出的算法比传统的带动量的梯度法收敛快的条件。
Furthermore, the condition of the faster convergence of the proposed algorithm comparing with the conventional gradient descent algorithm with momentum term is derived.
将梯度优化过程看作反馈控制系统，从而提出了一种带动量项的PID梯度算法(PIDGDM)。
An algorithm of PID gradient descent with momentum term (PIDGDM) is proposed. In this algorithm, the procedure of gradient optimization is considered as a feedback control system.
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.
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.
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