节点文献
升力鳍实验装置的升力函数发生器
Litf Function Generator in Lift Stabilizer Fin Experimental Apparatus
【摘要】 本文重点研究了鳍的动态水动力在升力鳍实验装置上的应用。在分析升力鳍实验装置施力要求的基础上 ,提出并成功应用神经网络BP算法逼近鳍的动态水动力曲线 ,然后将训练好的神经网络作为该实验装置施力系统升力函数发生器 ,实现对实验装置中鳍的施力 ,该研究也进一步完善了该实验装置。
【Abstract】 In the paper,the application of stabilizer fin’s hydrodynamic force in a lift stabilizer fin experimental apparatus is researched,and a back Propagation Neural Network is put forward and successfully applied to approach the hydrodynamic curve of the stabilizer fin based on the need for force which is to be exerted in the apparatus.And then,the well-trained Neural Network is used as a lift function generator in the force system of the experimental apparatus so as to exert a force on the fin.This effort makes the experimental apparatus more perfect.
【关键词】 人工智能;
减摇鳍实验装置;
水动力;
BP神经网络;
【Key words】 Artificial intelligence Stabilizer fin experiment Hydrodynamic Back propagation neural network;
【Key words】 Artificial intelligence Stabilizer fin experiment Hydrodynamic Back propagation neural network;
【基金】 “九五 2 11工程”船舶与海洋工程特辅装置与系统重点建设项目资助
- 【文献出处】 船舶工程 ,Ship Engineering , 编辑部邮箱 ,2004年03期
- 【分类号】U664.7
- 【被引频次】9
- 【下载频次】81