Journal
APPLIED OCEAN RESEARCH
Volume 37, Issue -, Pages 162-173Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.apor.2012.05.008
Keywords
Collision avoidance system; Collision risk; ANFIS (Adaptive Network-based Fuzzy Inference System); MLP (Multilayer Perceptron)
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In this this paper, the fuzzy inference system combined with an expert system is applied to collision avoidance system. Especially, calculation method of the collision risk by using neural network is proposed. At first, the membership functions of DCPA and TCPA are determined on the basis of simulation results using the KT equations. And then, the inference table is redesigned by using the ANFIS (Adaptive Network-based Fuzzy Inference System) algorithm. Secondly, additional factors, the ship domain, topological characteristics and restricted visibility, which can affect navigator's reasoning of the collision risk besides DCPA and TCPA are considered. Finally, MLP (Multilayer Perceptron) neural network to the collision avoidance system is applied to make up for fuzzy logic. (C) 2012 Elsevier Ltd. All rights reserved.
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