摘要
船舶在高速航行时,为了避免发生碰撞,需要重点对周边的环境进行监控,在了解到其他船舶航向的同时,还需要主动评估碰撞所产生的危险因素。因此,对船舶运动的预测显得至关重要,本文通过优化算法及Logistic回归模型,对船舶在发生碰撞时的受损因素,进行模块化分析,并基于该模型设计了评估算法,将影响船舶的各项因素进行分解,通过回归验证,进一步提升该模型的准确度,降低了船舶发生碰撞的概率;同时,也有利于提高航运管理水平,在仿真验证中,采用数据分析为主的方法。实验数据表明,该模型能够准确预测船舶发生的潜在危险因素。
In order to avoid collision, it is necessary to monitor the surrounding environment in order to avoid the collision of the ship. At the same time, it is necessary to take the initiative to evaluate the risk factors caused by the collision.Therefore, the prediction of ship motion is very important. In this paper, the optimization algorithm and the logistic regression model are used to analyze the damage factors of the ship in the event of collision. Based on the model, the algorithm is designed and evaluated. The factors of the ship are decomposed, and the accuracy of the model is further improved by regression verification. The probability of collision is reduced. At the same time, it is also helpful to improve the management level of shipping. In the simulation verification, method. The experimental data show that the model can accurately predict the potential risk factors of the ship.
出处
《舰船科学技术》
北大核心
2017年第22期141-143,共3页
Ship Science and Technology
关键词
回归模型
碰撞
分析
regression model
collision
analysis
