Application of chaos in a recurrent neural network to control in ill-posed problems: a novel autonomous robot arm
DOI10.1007/S00422-018-0775-9zbMath1402.93183OpenAlexW2888414671WikidataQ91033027 ScholiaQ91033027MaRDI QIDQ1627040
Kengo Uehara, Seiji Kuwada, Shigetoshi Nara, Tomoya Aota
Publication date: 22 November 2018
Published in: Biological Cybernetics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00422-018-0775-9
Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Adaptive control/observation systems (93C40) Automated systems (robots, etc.) in control theory (93C85) Artificial intelligence for robotics (68T40) Chaos control for problems involving ordinary differential equations (34H10)
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