Proceedings ArticleDOI
Neural Networks and Fuzzy Sets Theory for Computer Modeling of Ship Collision Avoidance in Heavy Traffic Zone
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The paper presents a methodology involving a neural-fuzzy approach capable of preventing ship collision in a heavy traffic zone and identifies optimal types of membership functions that were used to generate the input linguistic variables of the neural- fuzzy system for sea-going vessel collision avoidance.Abstract:
The paper presents a methodology involving a neural-fuzzy approach capable of preventing ship collision in a heavy traffic zone. It reports on the technique of using a maneuvering plane-table to develop the elements of a training sample. The authors did the research into the simulation modeling of neural-fuzzy networks. The scholars used the lattice method without clustering and the subclustering method to generate them. The hybrid method is turned out to be the most optimal one. The best neural-fuzzy ship collision prevention systems' testing has proved to be able of evaluating the value of changing the ship - operator's route very accurately to avoid ship collision in a heavy traffic zone. Coming too close to each other seems to be dangerous for the ship - operator. The authors identified optimal types of membership functions that were used to generate the input linguistic variables of the neural-fuzzy system for sea-going vessel collision avoidance. The neural-fuzzy collision avoidance system presented in this research is one of the modules of the intelligent safe ship control. The authors are definitely going to keep developing it in the futureread more
Citations
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Proceedings ArticleDOI
Identification of parametres of nonlinear model of a hydro-mechanical system
TL;DR: This paper considers the algorithm of identification parameters of hydro-mechanical systems using the fuzzy logic and neural network for nonlinear dynamic object identification and the results of modeling are described.
Proceedings Article
Distributed Cognition in Ship Navigation and Prevention of Collision: Proceedings of European Conference on Cognitive Ergonomics 2009 (ECCE 2009)
Proceedings ArticleDOI
Collision Risk Level Analysis Based on the Computed Distance and Closing Time of an Autonomous Surface Vessel and Other Objects
TL;DR: In this article, a fuzzy system was used for analyzing the collision level of marine autonomous surface vessels (MASV) with located sea crafts encountered in the path of a ship, where the system makes a decision using the Mamdani fuzzy inference algorithm.
Book ChapterDOI
Functional Networks for Modeling and Optimization Human-Machine Systems
Evgeniy Lavrov,Pavel I. Paderno,Olga Siryk,Vasyl Kyzenko,S. Kosianchuk,N. Bondarenko,E. A. Burkov +6 more
TL;DR: In this article, the authors examined the issues of reliability of human-machine systems and modeling of human and machine interaction, and classified models for describing human activity and its interaction with a machine and showed the advantages of functional networks for ergonomics.
References
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Journal ArticleDOI
On-line prediction of ship roll motion during maneuvering using sequential learning RBF neuralnetworks
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