Existence, uniqueness and stability analysis of fractional-order neural networks with multiple delays and variable coefficients: Banach fixed point approach
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.
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Copyright (c) 2023 Kanwal Niazi, Naveed Ahmed, Aneela Umar, Kiran Pasha
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