Abstract
In this paper, the issue of input-to-state exponential stability (ISES) for stochastic complex-valued neural networks with neutral delay (SCVNNs) and discrete delay is considered. Without separating the SCVNNs into two real-valued systems, two criteria expressed through linear matrix inequality (LMI) to pledge ISES of the considered SCVNNs are derived based on Ito formula in complex-valued field, Lyapunov-Krasovskii functional approach as well as some relevant inequality skills. Two examples are furnished to verify the raised results. (c) 2021 Elsevier B.V. All rights reserved.