Global Exponential Convergence Of Neutral-Type Competitive Neural Networks With Multi-Proportional Delays, Distributed Delays And Time-Varying Delay In Leakage Delays

This paper is concerned with a class of neutral-type competitive neural networks with multi-proportional delays, distributed delays and leakage delays. By employing the differential inequality theory, some sufficient conditions are given to ensure that all solutions of the addressed system converge exponentially to zero vector. An illustrative example is also given at the end of this paper to show the effectiveness of our results.