New stability results for delayed neural networks.

*(English)*Zbl 1426.34103Summary: This paper is concerned with the stability for delayed neural networks. By more fully making use of the information of the activation function, a new Lyapunov-Krasovskii functional (LKF) is constructed. Then a new integral inequality is developed, and more information of the activation function is taken into account when the derivative of the LKF is estimated. By Lyapunov stability theory, a new stability result is obtained. Finally, three examples are given to illustrate the stability result is less conservative than some recently reported ones.

##### MSC:

34K20 | Stability theory of functional-differential equations |

92B20 | Neural networks for/in biological studies, artificial life and related topics |

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\textit{H. Shao} et al., Appl. Math. Comput. 311, 324--334 (2017; Zbl 1426.34103)

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