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TRACEABILITY OF OIL SPILL FROM BAYESIAN CLASSIFICATION

机译:来自贝叶斯分类的漏油泄漏的可追溯性

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摘要

Oil spills over the sea resulted in the destruction of the marine environment. Therefore, the Bayesian algorithm was developed to determine the source of spilled oil for reducing the damage to the marine environment. Based on the flow data of the offshore waters of the Bohai Sea, the influencing factors of oil spill drift were used for algorithm. The main factors affecting the traceability of marine oil spills are considered: the distance from the oil point to the source point, the flow direction of water, the type of the spilled oil source, and the scale of the source. The algorithm is completed on the basis of a feasible simulation database. We not consider the relationship between the attributes by naive Bayesian classification. In this paper, we determine the result by the minimum error rates of each source. Then the performance evaluation of the model was done by cross-validation method. The experimental result shows that the Bayesian algorithm can be used to determine the source of spilled oil. It is easier and faster to determine the source by the method raised.
机译:溢油在海面上导致海洋环境的破坏。因此,开发了贝叶斯算法以确定溢出的油源,用于减少对海洋环境的损害。基于渤海海上水流的流量数据,利用炼油漂移的影响因素进行算法。影响了海洋油溢出的可追溯性的主要因素被认为是:从油点到源点的距离,水的流动方向,溢油的类型,以及源的尺度。该算法基于可行的仿真数据库完成。我们不考虑朴素贝叶斯分类的属性之间的关系。在本文中,我们通过每个源的最小误差率确定结果。然后通过交叉验证方法完成模型的性能评估。实验结果表明,贝叶斯算法可用于确定溢油源。通过提出的方法来确定源更容易且更快。

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