Application of neuro evolution tools in automation of technical control systems

• Veröffentlicht in: PROBLEMS IN PROGRAMMING
• Datum: 2021
• Heft: 1
• Сторінки: 16-25
• ISSN: 1727-4907
• Автори та афіліації: А.Yu. Doroshenko — Institute of Software Systems NAS of Ukraine; I.Z. Achour — NTUU "KPI"
• Hauptverfasser: Doroshenko, А.Yu., Achour, I.Z.
• Format: Artikel
• Sprache: Ukrainisch
• Veröffentlicht: PROBLEMS IN PROGRAMMING 2021
• Schlagworte: artificial neural networks; reinforced learning; genetic algorithms; control automation in technical systems; UDC 004.4'22
• Online Zugang: https://pp.isofts.kiev.ua/index.php/ojs1/article/view/448
• Назва журналу: Problems in programming

Reinforced learning is a field of machine learning based on how software agents should perform actions in the environment to maximize the concept of cumulative reward. This paper proposes a new application of machine reinforcement learning techniques in the form of neuroevolution of augmenting topol...