Exponential Stability for the Neutral-type Inertial BAM Neural Networks with Time-varying Delays

Abstract

Abstract In this paper, the global exponential stability for the neutral-type inertial bidirectional association memory neural networks with time-varying delays is considered. In our study, the lower and upper bounds of the activation functions are allowed to be either positive, negative or zero. By constructing new and improved Lyapunov-Krasovskii functional and introducing free-weighting matrices, a new and improved delay-dependent the neutral-type inertial bidirectional association memory neural networks with time-varying delays is derived in the form of linear matrix.