Maqola

Intelligent algorithms of construction of public transport routes

М Исмаилов“Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, Tashkent, 100000, UzbekistanDavron ZiyadullaevTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent,100200, UzbekistanDilnoz Muhamediyeva“Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, Tashkent, 100000, UzbekistanRano Gazieva“Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, Tashkent, 100000, UzbekistanAksulu DzholdasbaevaTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent,100200, UzbekistanSharofiddin Aynaqulov“Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, Tashkent, 100000, Uzbekistan

E3S Web of Conferencesjournal2023en

ABI

Annotatsiya

Today, in public transport planning systems, it is relevant to a search for a possible route with a minimum time. The aim of the work is the development of intelligent algorithms for constructing public transport routes, the development of programs, and the conduct of a computational experiment. Research methods are the theory of neural networks. The paper considers Hopfield neural networks and proposed recurrent neural networks. However, in Hopfield neural networks, the chances of solving this optimization problem decrease as the matrix size increases. A recurrent neural network is proposed, represented by a differential equation to solve this problem. As a result, the number of iterative computations can be reduced by n 2 times than in the Hopfield network.

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Mavzular

Advanced Computational Techniques in Science and Engineering Transportation Systems and Logistics Aerospace, Electronics, Mathematical Modeling

Identifikatorlar

DOI: 10.1051/e3sconf/202336501002

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