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作 者:吕洪芹[1] LV Hong-qin(China Rescue and Salvage of Ministry of Transport of the People's Republic of China,Beijing 100736,China)
出 处:《舰船科学技术》2022年第14期48-51,共4页Ship Science and Technology
摘 要:船舶锚泊半径估计具有重要的实际应用价值,为了解决当前船舶锚泊半径估计准确差性、误差过大等不足,提出基于人工智能系统的船舶锚泊半径估计方法。首先对船舶锚泊半径的历史数据进行采集和预处理,然后采用人工智能系统中的神经网络和最小二乘法支持向量机分别对锚泊半径进行建模与估计,并对锚泊半径估计结果进行组合,得到最终的锚泊半径估计结果。最后进行锚泊半径估计的仿真对比测试,结果表明,相对于传统方法,本文方法的船舶锚泊半径估计精度得到了明显的提升,而且锚泊半径估计效果要优于单一的人工智能技术,获得更加理想的船舶锚泊半径结果。The estimation of ship anchoring radius has important practical application value.In order to solve the problems of poor accuracy and large error of current ship anchoring radius estimation,a ship anchoring radius estimation method based on artificial intelligence system is proposed.Firstly,the historical data of ship anchoring radius are collected and preprocessed,then the artificial intelligence system neural network and least square support vector machine are used to build and estimate the ship anchoring radius respectively,and their ship anchoring radius estimation results are combined to obtain the final ship anchoring radius estimation results.Finally,the simulation and comparison test of ship anchoring radius estimation is carried out.The results show that:compared with the traditional methods,the estimation accuracy of the ship anchoring radius of this method has been significantly improved,and the estimation effect of the ship anchoring radius is better than that of a single artificial intelligence technology.
关 键 词:人工智能 船舶锚泊 半径估计 最小二乘法支持向量机 误差分析
分 类 号:TP181[自动化与计算机技术—控制理论与控制工程]
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