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On μ-Pseudo Almost Periodic Solutions for Clifford-Valued Neutral Type Neural Networks With Delays in the Leakage Term

Yongkun Li, Nina Huo, Bing Li

2020IEEE Transactions on Neural Networks and Learning Systems32 citationsDOI

Abstract

We propose a class of Clifford-valued neutral type neural networks with delays in the leakage term. Using a direct method, that is, without decomposing the Clifford-valued system under consideration into a real-valued system, we obtain sufficient conditions for the existence and global exponential stability of μ -pseudo almost periodic solutions of the Clifford-valued neural network under consideration. Finally, we give a numerical example to show the feasibility of our results.

Topics & Concepts

Leakage (economics)Artificial neural networkTerm (time)Clifford algebraExponential functionType (biology)MathematicsClass (philosophy)Control theory (sociology)Applied mathematicsComputer sciencePure mathematicsMathematical analysisAlgebra over a fieldPhysicsArtificial intelligenceQuantum mechanicsBiologyEcologyEconomicsMacroeconomicsControl (management)Neural Networks Stability and SynchronizationNeural Networks and ApplicationsControl and Stability of Dynamical Systems