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• W2904966042 abstract "In this paper, a new three-dimensional fractional-order Hopfield-type neural network with delay is proposed. The system has a unique equilibrium point at the origin, which is a saddle point with index two, hence unstable. Intermittent chaos is found in this system. The complex dynamics are analyzed both theoretically and numerically, including intermittent chaos, periodicity, and stability. Those phenomena are confirmed by phase portraits, bifurcation diagrams, and the Largest Lyapunov exponent. Furthermore, a synchronization method based on the state observer is proposed to synchronize a class of time-delayed fractional-order Hopfield-type neural networks." @default.
• W2904966042 created "2018-12-22" @default.
• W2904966042 creator A5027953418 @default.
• W2904966042 creator A5057477253 @default.
• W2904966042 date "2018-12-20" @default.
• W2904966042 modified "2023-09-27" @default.
• W2904966042 title "Dynamics Analysis of a New Fractional-Order Hopfield Neural Network with Delay and Its Generalized Projective Synchronization" @default.
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• W2904966042 doi "https://doi.org/10.3390/e21010001" @default.
• W2904966042 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7514113" @default.
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• W2904966042 hasPublicationYear "2018" @default.
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