Litcius/Paper detail

Mutiple <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si5.svg"><mml:mi>ψ</mml:mi></mml:math>-type stability of fractional-order quaternion-valued neural networks

K. Udhayakumar, R. Rakkiyappan, Xiaodi Li, Jinde Cao

2021Applied Mathematics and Computation15 citationsDOI

Topics & Concepts

Type (biology)Artificial neural networkQuaternionStability (learning theory)Fractional calculusDerivative (finance)MathematicsOrder (exchange)Applied mathematicsAlgorithmAlgebra over a fieldComputer sciencePure mathematicsArtificial intelligenceMachine learningGeometryFinanceBiologyFinancial economicsEcologyEconomicsNeural Networks Stability and SynchronizationNeural Networks and ApplicationsChaos control and synchronization
Mutiple <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si5.svg"><mml:mi>ψ</mml:mi></mml:math>-type stability of fractional-order quaternion-valued neural networks | Litcius