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

Abstract

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 ships′ 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.