Development of the intelligent control system of an unmanned car

• Опубліковано в: PROBLEMS IN PROGRAMMING
• Дата: 2024
• Випуск: 2-3
• Сторінки: 375-383
• ISSN: 1727-4907
• Автори та афіліації: N.B. Dakhno — Kiev Taras Shevchenko National University; A.P. Miroshnyk — Kiev Taras Shevchenko National University; Yu.V. Kravchenko — Kiev Taras Shevchenko National University; O.O. Leshchenko — Kiev Taras Shevchenko National University; A.S. Dudnik — Kiev Taras Shevchenko National University
• Автори: Dakhno, N.B., Miroshnyk, A.P., Kravchenko, Yu.V., Leshchenko, O.O., Dudnik, A.S.
• Формат: Стаття
• Мова: Англійська
• Опубліковано: PROBLEMS IN PROGRAMMING 2024
• Теми: neural networks; evolutionary learning; genetic algorithms; NEAT algorithm; NEAT learning efficiency; neural network architecture; UDC 519.711
• Онлайн доступ: https://pp.isofts.kiev.ua/index.php/ojs1/article/view/659
• Назва журналу: Problems in programming

This study delves into creating an intelligent control system for self-driving vehicles, utilizing cutting-edge machine learning methods. Central to our approach is the NeuroEvolution of Augmenting Topologies (NEAT) algorithm, implemented in the Python programming language. NEAT plays a pivotal role...