摘 要：为对舰船舱室噪声进行精确预测，提出了基于SVM（支持向量机）的舱室噪声预测方法。采用RBF核函数和ERBF核函数，以某集装箱船上层建筑舱室噪声为训练样本，建立了两种集装箱船上层建筑舱室噪声的非线性回归模型；并应用两种模型对母型船及另一艘集装箱船上层建筑舱室噪声进行预测，并将预测结果进行了比较分析；在此基础上，应用效果较好的模型对一艘散装货船上层建筑舱室噪声进行预测。预测结果表明：应用SVM非线性回归模型对船舶上层建筑舱室噪声的预测是可行的，预测效果较为理想。

Abstract: in order to decrease the cost though predicting the noise before building to improve the ship. This paper introduces the prediction of the noise of the ship’s superstructure cabins based on SVM method. This paper establishes two nonlinear regression models of the noise of the superstructure cabins of large container ship, which is based on Support Vector Machine, using RBF kernel function and ERBF kernel function, taking the actual measurement noise of one container ship’s superstructure cabins as the training sample. The two models are applied to predict the noise of the parent ship and another container ship’s superstructure cabins. Compare to the result and choose the better model, then predict the noise of 174000DWT bulk carrier’s superstructure cabins. The result shows that, it is feasible to predict the noise of the ship’s superstructure cabins，and the effect is good.