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The Synthetic Assessment Modeling of Ships' Oil Spill Risk Based on Fuzzy Neural Network

机译:基于模糊神经网络的船舶溢油风险综合评估建模

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The paper firstly emphasizes the importance of synthetic risk assessment of ships'' oil spill risk and then puts forwards that neglecting environmental hazards and management deficiencies is the congenital defect of current research. The paper builds assessment model of shipsu00026;#8242; oil spill risk based on fuzzy neural network which relates to two emphases, namely, index system and coupling assessment model. The relevant maritime data is inputted into the network, and by training, the structure and parameters of network are optimized, so we can achieve effective safety evaluation.
机译:本文首先强调了船舶溢油风险综合风险评估的重要性,然后提出忽略环境危害和管理缺陷是当前研究的先天缺陷。本文建立了ships00026;#8242;的评估模型。基于模糊神经网络的溢油风险评估涉及两个重点,即指标体系和耦合评价模型。将相关的海事数据输入到网络中,并通过训练对网络的结构和参数进行优化,从而可以进行有效的安全评估。

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