TOPOLOGICAL STRUCTURE OF CHAOS IN DISCRETE-TIME NEURAL NETWORKS WITH GENERALIZED INPUT–OUTPUT FUNCTION
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Publication:5474202
DOI10.1142/S0218127401003097zbMath1091.37525OpenAlexW1975573679MaRDI QIDQ5474202
Publication date: 23 June 2006
Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1142/s0218127401003097
Dynamical systems in biology (37N25) Neural networks for/in biological studies, artificial life and related topics (92B20) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45)
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Cites Work
- Euler's finite difference scheme and chaos in \(R^ n\)
- Associative dynamics in a chaotic neural network.
- Euler's finite difference scheme and chaos
- A generalization of a theorem of Marotto
- Snap-back repellers imply chaos in \(\mathbb{R}^n\)
- Strange attractors in chaotic neural networks
- Qualitative analysis and synthesis of a class of neural networks
- A condition for global convergence of a class of symmetric neural circuits
- Period Three Implies Chaos
- Global searching ability of chaotic neural networks
- Neural networks and physical systems with emergent collective computational abilities.
- Neurons with graded response have collective computational properties like those of two-state neurons.
- Characteristics of Random Nets of Analog Neuron-Like Elements
