基于支持向量机的船舶阻力近似模型

为检验支持向量机（Support Vector Machine，SVM）理论构建船舶阻力近似模型的可行性，以国际标准船舶模型KCS为研究对象，采用均匀试验设计方法在船型参数空间内选取样本点；用SHIPFLOW对样本点进行数值模拟，产生样本集；利用SVM理论建立船舶总阻力的近似模型，并与神经网络建立的近似模型进行对比.结果表明SVM近似模型具有较好的预测精度和可推广能力.

Ship resistance approximation model based on support vector machine

To check the feasibility of building ship resistance approximation model by Support Vector Machine(SVM) theory, the international standard ship model KCS is taken as the research object, the sample points in ship type parameter space are selected by uniform test design method; the sample set is generated by the numerical simulation on the sample points using SHIPFLOW; the approximate model of the total resistance of ship is built by SVM theory and compared with the approximate model which is built by neural network. The results show that the SVM approximation model has better prediction accuracy and generalization ability.