Existence, uniqueness and stability analysis of fractional-order neural networks with multiple delays and variable coefficients: Banach fixed point approach

Abstract

This study uses the Banach fixed point idea and analysis technique to explore the existence, uniqueness, and stability of solutions for a class of fractional-order neural networks. For fractional-order neural networks with multiple time delays and variable coefficients, a necessary situation is stated to guarantee the uniqueness, existence, and uniform solutions of stability. The outcomes are simple to confirm in practice and, to a certain extent, build upon and extend several prior initiatives. An excellent example is given to illustrate how the findings might be applied and relied upon.