Priya, BandanaThakur, Ganesh KumarAli, M. SyedStamov, GaniStamova, IvankaSharma, Pawan Kumar2022-07-252022-07-252022-06-30Fractal and Fractional 6 (7): 368 (2022)https://hdl.handle.net/20.500.12588/1065This study investigates the problem of finite-time boundedness of a class of neural networks of Caputo fractional order with time delay and uncertain terms. New sufficient conditions are established by constructing suitable Lyapunov functionals to ensure that the addressed fractional-order uncertain neural networks are finite-time stable. Criteria for finite-time boundedness of the considered fractional-order uncertain models are also achieved. The obtained results are based on a newly developed property of Caputo fractional derivatives, properties of Mittag–Leffler functions and Laplace transforms. In addition, examples are developed to manifest the usefulness of our theoretical results.Attribution 4.0 United Stateshttps://creativecommons.org/licenses/by/4.0/neural networksfractional ordertime delayuncertain parametersfinite-time stabilityfinite-time boundednessArticle2022-07-25