Published January 1, 2023
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EXPONENTIAL STABILITY OF BAM-TYPE NEURAL NETWORKS WITH CONFORMABLE DERIVATIVE
Creators
- 1. Ankara Univ, Fac Sci, Dept Math, TR-06100 Ankara, Turkiye
Description
This paper investigates the fractional exponential stability of bidirectional associative memory (BAM) neural networks with con-formable derivative. Applying the contraction mapping theorem exis-tence and uniqueness of the equilibrium is studied. Furthermore, an appropriate Lyapunov function is stated to get exponential stability. Numerical examples are given to illustrate the obtained results.
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