Dynamical analysis of DTNN with impulsive effect
Summary: We present dynamical analysis of discrete-time delayed neural networks with impulsive effect. Under impulsive effect, we derive some new criteria for the invariance and attractivity of discrete-time neural networks by using decomposition approach and delay difference inequalities. Our results improve or extend the existing ones.
scientific article; zbMATH DE number 5637343
scientific article