哈尔滨工程大学学报2011，Vol.32Issue(5)：607-612,6.DOI:10.3969/j.issn.1006-7043.2011.05.012
基于ISVM的船舶横摇运动实时预报方法
Real-time forecasting of ship roll motion based on an improved support vector machine
摘要
Abstract
In considering the time series of ship rolling which displays many special characteristics, including a small sample, nonlinearity, and randomness, this paper proposes an improved support vector machine (ISVM)which utilized the robust loss function and the Marr wavelet kernel function. The ISVM could effectively deal with various kinds of noises and outliers of a rolling time series and had good robustness and generalization ability. Also,using a single relaxation variable allowed the ISVM to possess a concise dual problem, smaller optimal range, and faster run time than a standard support vector machine. Finally, a real-time prediction model showing ship rolling movement attitude was designed to forecast the time series of ships based on the ISVM. Simulation results are provided to validate the effectiveness of the proposed scheme.关键词
船舶横摇运动/改进支持向量机/Mart小波核/鲁棒损失函数/实时预报Key words
ship rolling movement attitude/ improved support vector regression/ Marr wavelet kernel/ robust lossfunction/ real-time forecasting分类
交通工程引用本文复制引用
刘胜,杨震..基于ISVM的船舶横摇运动实时预报方法[J].哈尔滨工程大学学报,2011,32(5):607-612,6.基金项目
国家自然科学基金资助项目(51079033). （51079033）
