支持向量机技术在舰船航向广义预测与控制中的应用

Application of support vector machine in the generalized prediction and control of ship course

舰船在海上航行时,受到海浪等干扰力的作用难免会偏离既定航线,严重时甚至发生搁浅等事故,航向的广义预测与控制决定了舰船的航行效率和安全性,是船舶工业领域研究的重点。支持向量机技术是一种新型的智能学习算法,该算法在非线性系统求解、小样本、高维度系统求解领域有重要应用。本文以舰船航向预测与控制为研究对象,系统介绍了支持向量机算法,并基于支持向量机技术对船舶航向进行预测与控制。本研究对于提高舰船航向预测与控制有重要意义。

When the ship is sailing on the sea, it will inevitably deviate from the established route, and even be grounded. The Generalized Prediction and control of the course determines the efficiency and safety of the ship, which is the focus of ship industry. Support vector machine(SVM) is a new intelligent learning algorithm, which has important applications in solving nonlinear systems, small sample and high dimensional system solving. In this paper, the prediction and control of ship's heading is taken as the research object. The support vector machine algorithm is introduced systematically, and the ship's course is predicted and controlled based on support vector machine. This study is of great significance for improving the prediction and control of ship course.