Chaos in a three-neuron hysteresis Hopfield-type neural network

DOI10.1016/S0375-9601(01)00381-4zbMath0969.92504OpenAlexW1963913942WikidataQ56803631 ScholiaQ56803631MaRDI QIDQ5937759

Xiaofeng Liao, Juebang Yu, Chunguang Li

Publication date: 15 July 2001

Published in: Physics Letters. A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0375-9601(01)00381-4

zbMATH Keywords

strange attractorsLyapunov exponentspower spectra

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45)

Related Items (7)

STABILITY AND HOPF BIFURCATION OF A DELAYED NETWORK OF FOUR NEURONS WITH A SHORT-CUT CONNECTION ⋮ BIFURCATION AND CHAOS ANALYSIS FOR A DELAYED TWO-NEURAL NETWORK WITH A VARIATION SLOPE RATIO IN THE ACTIVATION FUNCTION ⋮ Coexisting chaotic attractors in a single neuron model with adapting feedback synapse ⋮ Generation of \(n\times m\)-scroll attractors in a two-port RCL network with hysteresis circuits ⋮ Hopf bifurcation analysis of a tabu learning two-neuron model ⋮ Modeling, chaotic behavior, and control of dissipation properties of hysteretic systems ⋮ HOPF BIFURCATION AND CHAOS IN TABU LEARNING NEURON MODELS

Cites Work

• Chaos in a neural network circuit
• Determining Lyapunov exponents from a time series
• Nonlinear dynamics and stability of analog neural networks

This page was built for publication: Chaos in a three-neuron hysteresis Hopfield-type neural network