Almost anti-periodic solution of inertial neural networks model on time scales
Adnène Arbi, Najeh Tahri
Abstract
In this work, since the importance of investigation of oscillators solutions, an methodology for proving the existence and stability of almost anti-periodic solutions of inertial neural networks model on time scales are discussed. By developing an approach based on differential inequality techniques coupled with Lyapunov function method. A numerical example is given for illustration.
Topics & Concepts
Inertial frame of referenceLyapunov functionArtificial neural networkWork (physics)Applied mathematicsStability (learning theory)Control theory (sociology)Computer scienceFunction (biology)MathematicsStatistical physicsPhysicsArtificial intelligenceClassical mechanicsNonlinear systemMachine learningThermodynamicsBiologyControl (management)Quantum mechanicsEvolutionary biologyNeural Networks Stability and SynchronizationFractional Differential Equations SolutionsStability and Controllability of Differential Equations