-Pseudo-almost automorphic solutions for high-order Hopfield bidirectional associative memory neural networks
This article is concerned with a high-order Hopfield bidirectional associative memory neural
networks with time-varying coefficients and mixed delays. Sufficient conditions are derived
for the existence, the uniqueness and the exponential stability of (μ, ν)(μ, ν)-pseudo-almost
automorphic solutions of the considered model. Banach fixed-point theorem is applied for
the existence and the uniqueness results. Global exponential stability is derived via
differential inequalities. Finally, two examples are provided to support the feasibility of the …
networks with time-varying coefficients and mixed delays. Sufficient conditions are derived
for the existence, the uniqueness and the exponential stability of (μ, ν)(μ, ν)-pseudo-almost
automorphic solutions of the considered model. Banach fixed-point theorem is applied for
the existence and the uniqueness results. Global exponential stability is derived via
differential inequalities. Finally, two examples are provided to support the feasibility of the …
Abstract
This article is concerned with a high-order Hopfield bidirectional associative memory neural networks with time-varying coefficients and mixed delays. Sufficient conditions are derived for the existence, the uniqueness and the exponential stability of -pseudo-almost automorphic solutions of the considered model. Banach fixed-point theorem is applied for the existence and the uniqueness results. Global exponential stability is derived via differential inequalities. Finally, two examples are provided to support the feasibility of the theoretical results.
Springer
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