基于SVM模型的船舶油污损失估算

将SVM引入了船舶油污损失赔偿额的估算中,通过从历史船舶溢油事故案例中选取了十组样本数,以污染损失赔偿额与影响因子集作为训练样本,建立了船舶溢油事故污染损失额估算的SVM模型。并对SVM模型进行仿真训练学习,并将训练好的神经网络应用于对相关案例的估算。研究结果表明应用SVM方法进行溢油损失估算结果客观、可靠,为船舶油污索赔和环境保护提供了有力的理论依据。

Estimation of Ship's Oil Pollution Damage Based on Support Vector Machine

The approach of support vector machine was proposed to estimate the loss of oil pollution because of ship's accidents.The model of support vector machine was founded based on training patterns including damage value and its influenced factors selecting ten cases from historical database.Then the emulation and training for the support vector machine were proceeded,and the parameters derived from the trained network could be used to evaluate relevant cases.Results show that the approach for the damage estimat...