2) underwater towed vehicle
水下拖曳体
1.
In this paper,a self-stable controllable underwater towed vehicle was taken as the research object,and the 3D hydrodynamic response performances of the vehicle with a constant velocity under the joint manipulations of a depressing wing and a twin-stern thruster were discussed.
以一种自主稳定可控制水下拖曳体为研究对象,分析匀速拖曳时在迫沉水翼和双尾推进器联合作用下拖曳体的三维水动力响应特性。
2.
The numerical simulation results in the paper indicate that forecast of the hydrodynamicand control performances of the underwater towed vehicle under a given control manipulation by the estab-lished ne.
以拖曳体的拖曳水池样机试验取得试验数据作为训练样本,采用LMBP算法,建立基于神经网络理论构建的可控制水下拖曳体轨迹与姿态水动力控制数值模型,并进行LMBP模型仿真检验。
3.
A neural network model to predict hydrodynamic performance of an underwater towed vehicle under certain control manipulation is first established based on LMBP algorithm.
以华南理工大学开发的自主稳定可控制水下拖曳体为研究对象,首先通过水下拖曳体在拖曳水池样机中的试验取得试验数据后作为训练样本,采用LM BP算法,建立基于神经网络理论构建的可控制水下拖曳体轨迹与姿态水动力的数值模型。
4) transporting/launching
拖航/下水
5) underwater towed
水下拖曳
1.
Study on dynamic model of underwater towed heave compensation system;
水下拖曳升沉补偿系统水动力数学模型研究
6) underwater dragging cable
水下拖索
补充资料：地下水水资源评价(见水资源评价)
地下水水资源评价(见水资源评价)
d ixiashui shuiziyuan Ping】ia地下水水资源评价见水资源评价。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条