Abstract
The investigation of the dynamical characteristics of hybrid bidirectional associative memory (BAM) neural networks was done with constant transmission delays. A set of easily verifiable delay-independent sufficient conditions for the hybrid BAM with delays to converge exponentially to the equilibria associated with temporally uniform external inputs introduced from outside the network was also obtained by using Halanay-type inequalities. The existence and exponential stability of the unique equilibrium of hybrid BAM neural networks was also investigated.
| Original language | English |
|---|---|
| Article number | 42901 |
| Pages (from-to) | 429011-429014 |
| Journal | Physical Review E - Statistical, Nonlinear, and Soft Matter Physics |
| Volume | 67 |
| Issue number | 4 1 |
| DOIs | |
| Publication status | Published - Apr 2003 |
Publisher's Copyright Statement
- COPYRIGHT TERMS OF DEPOSITED FINAL PUBLISHED VERSION FILE: Liao, X., & Wong, K-W. (2003). Global exponential stability of hybrid bidirectional associative memory neural networks with discrete delays. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 67(4 1), 429011-429014. [42901]. https://doi.org/10.1103/PhysRevE.67.042901. The copyright of this article is owned by American Physical Society.