Exponential Stability of a Class of Neutral Inertial Neural Networks with Multi-Proportional Delays and Leakage Delays

This paper investigates the exponential stability of a class neutral inertial neural networks with multi-proportional delays and leakage delays. By utilizing Lyapunov theory, approach parametric variation, differential inequality technique, some criteria are acquired that can guarantee all solutions addressed system converge exponentially to equilibrium point. In particular, term, delays, incorporated simultaneously, resulting in more general model, findings novel refine previous works. Finally, one example is provided indicate dynamic behavior consistent theoretical analysis.