HYPERCHAOS IN RTD-BASED CELLULAR NEURAL NETWORKS

DOI10.1142/S0218127408022470zbMath1165.34352OpenAlexW2029122653MaRDI QIDQ5322584

Feng Juan Chen, Ji-Bin Li

Publication date: 21 July 2009

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218127408022470

zbMATH Keywords

Lyapunov exponentshyperchaosRTD-based CNN

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Characteristic and Lyapunov exponents of ordinary differential equations (34D08) Complex behavior and chaotic systems of ordinary differential equations (34C28)

Related Items (1)

A new 4-D hyperchaotic system with no equilibrium, its multistability, offset boosting and circuit simulation

Cites Work

• An equation for hyperchaos
• A comparative study of computation of Lyapunov spectra with different algorithms
• An approach toward higher dimensional hysteresis chaos generators
• UNMASKING A MODULATED CHAOTIC COMMUNICATIONS SCHEME
• HYPERCHAOS IN A MODIFIED CANONICAL CHUA'S CIRCUIT
• RTD-BASED CELLULAR NEURAL NETWORKS WITH MULTIPLE STEADY STATES

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