Application of fuzzy neural network technologies in management of transport and logistics processes in Arctic

• Published in: Journal of physics. Conference series 2018-05, Vol.1015 (3), p.32085
• Main Authors: Levchenko, N G, Glushkov, S V, Sobolevskaya, E Yu, Orlov, A P
• Format: Article
• Language: English
• Subjects: Artificial neural networks; Data base management systems; Fuzzy logic; Information management; Logistics; Multimodal transportation systems; Neural networks; Physics
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/1015/3/032085

The method of modeling the transport and logistics process using fuzzy neural network technologies has been considered. The analysis of the implemented fuzzy neural network model of the information management system of transnational multimodal transportation of the process showed the expediency of applying this method to the management of transport and logistics processes in the Arctic and Subarctic conditions. The modular architecture of this model can be expanded by incorporating additional modules, since the working conditions in the Arctic and the subarctic themselves will present more and more realistic tasks. The architecture allows increasing the information management system, without affecting the system or the method itself. The model has a wide range of application possibilities, including: analysis of the situation and behavior of interacting elements; dynamic monitoring and diagnostics of management processes; simulation of real events and processes; prediction and prevention of critical situations.