Stamov, GaniStamova, IvankaMartynyuk, AnatoliyStamov, Trayan2021-04-192021-04-192020-03-15Entropy 22 (3): 337 (2020)https://hdl.handle.net/20.500.12588/483In this paper, a new class of impulsive neural networks with fractional-like derivatives is defined, and the practical stability properties of the solutions are investigated. The stability analysis exploits a new type of Lyapunov-like functions and their derivatives. Furthermore, the obtained results are applied to a bidirectional associative memory (BAM) neural network model with fractional-like derivatives. Some new results for the introduced neural network models with uncertain values of the parameters are also obtained.Attribution 4.0 United Stateshttps://creativecommons.org/licenses/by/4.0/neural networksfractional-like derivativeimpulsespractical stabilityh-manifoldsDesign and Practical Stability of a New Class of Impulsive Fractional-Like Neural NetworksArticle2021-04-19