Many machine-learning approaches to nonlinear dynamical systems focus on trajectory prediction or equation discovery. This work introduces the Generative Dynamical Synthesis (GDS) framework, a behavioral learning approach in which an autonomous neural dynamical system is trained from asymptotic state-transition samples...
Christos K. Volos, Chun-Biao Li· International Journal of Bif...· 0 citations
Against the backdrop of increasing population aging, cardiovascular diseases have become a major threat to the health of the elderly. As age increases, vascular elasticity declines and metabolic function deteriorates, leading to a significant rise in the incidence of cardiovascular diseases, often accompanied by underl...
Zhuo Chen, Chun-Biao Li· International Conference on...· 0 citations
Chaotic systems with independent amplitude regulation remain difficult to realize because most existing approaches couple amplitude adjustment with bifurcation parameters, causing simultaneous changes in attractor topology and dynamical behavior. In this work, we propose a new gallery of three-dimensional chaotic flows...
Chun-Biao Li, J. Sprott, Wang-Yu Liu· International Journal of Bif...· 0 citations
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