船舶在海上航行时受到外界环境的干扰会产生横摇的运动,影响船舶的航行安全。本文利用径向基函数神经网络建立船舶水动力参数智能模型,并利用此模型进行船舶横向运动仿真。仿真结果说明,本文所建立的模型收敛速度快、稳定性好、可行性强。
When the ship is at sea, the interference of the external environment produce the rolling movement. These factors affect the safety of navigation. Based on radial basis function neural network, this paper established the intelligent model of ship hydrodynamic parameters. And using this model to simulate the transverse motion of the ship. The simulation results showed that the model had fast convergence speed, stability and feasibility.
2017,39(1A): 7-9 收稿日期:2016-09-29
DOI:10.3404/j.issn.1672-7619.2017.1A.003
分类号:U665.26A
作者简介:杜鑫(1983-),男,硕士,讲师,研究方向为智能信息处理及网络与信息安全。
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