Dynamics of BAM neural networks with mixed delays and leakage time-varying delays in the weighted pseudo-almost periodic on time-space scales

Bidirectional associative memory models are 2-layer heteroassociative networks. In this work, we prove the existence and the global exponential stability of the unique weighted pseudo-almost periodic solution of bidirectional associative memory neural networks with mixed time-varying delays and leakage time-varying delays on time-space scales. Some sufficient conditions are given for the existence, the convergence, and the global exponential stability of the weighted pseudo-almost periodic solution by using fixed-point theorem and differential inequality techniques. The results of this paper complement the previous outcomes. An example is given to show the effectiveness of the derived results via computer simulations.