Stability Analysis of Cohen–Grossberg Type BAM Neural Network with Piecewise Constant Argument

This paper introduces the stability problems of Cohen–Grossberg type BAM neural network (BAMCGNN) with piecewise constant argument (PCA). By employing homeomorphism theory, sufficient conditions for existence and uniqueness equilibrium point are obtained; using inequality technique Lyapunov method, criteria BAMCGNN PCA presented. Finally, a numerical case shows significance results this paper.