Bifurcation analysis on a discrete-time tabu learning model

DOI10.1016/j.cam.2007.09.018zbMath1152.68048OpenAlexW2034040222MaRDI QIDQ939576

Min Xiao, Cao, Jinde

Publication date: 22 August 2008

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2007.09.018

zbMATH Keywords

stabilityneural networkdiscrete-timePichfork/Flip/Neimark-Sacker bifurcationtabu learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items

Hopf bifurcation analysis in a tabu learning neuron model with two delays, Parameterized center manifold for unfolding bifurcations with an eigenvalue \(+1\) in \(n\)-dimensional maps, Neimark-Sacker bifurcation analysis for a discrete-time system of two neurons, Coexisting Infinitely Many Nonchaotic Attractors in a Memristive Weight-Based Tabu Learning Neuron

Cites Work

• Unnamed Item
• Convergence and periodicity in a discrete-time network of two neurons with self-connections
• Bifurcations, stability, and monotonicity properties of a delayed neural network model
• Retarded differential equations with piecewise constant delays
• Advanced differential equations with piecewise constant argument deviations
• Dynamics of a hysteretic neuron model
• LMI-based criteria for stability of high-order neural networks with time-varying delay
• Elements of applied bifurcation theory.
• Stability in asymmetric Hopfield nets with transmission delays
• Tabu search for fuzzy optimization and applications.
• Stability and bifurcation in a neural network model with two delays.
• Tabu learning method for multiuser detection in CDMA systems.
• Convergence and periodicity of solutions for a discrete-time network model of two neurons
• Delay induced periodicity in a neural netlet of excitation and inhibition
• Invariant and attracting sets of Hopfield neural networks with delay
• Tabu Search—Part I
• Tabu Search—Part II
• Stability, Bifurcation, and Multistability in a System of Two Coupled Neurons with Multiple Time Delays
• Neurons with graded response have collective computational properties like those of two-state neurons.
• HOPF BIFURCATION AND CHAOS IN TABU LEARNING NEURON MODELS