Dynamic learning of synchronization in coupled nonlinear systems
Y Wu, Q Ding, W Huang, T Li, D Yu, Y Jia - Nonlinear Dynamics, 2024 - Springer
Synchronization phenomena are pervasive in coupled nonlinear systems across the natural
world and engineering domains. Understanding how to dynamically identify the parameter …
world and engineering domains. Understanding how to dynamically identify the parameter …
Adaptive electric shocks control and elimination of spiral waves using dynamic learning based techniques
Q Ding, Y Wu, W Huang, Y Hu, Y Xie, Y Jia - Nonlinear Dynamics, 2024 - Springer
The elimination of cardiac spiral waves by high-voltage defibrillation has significant side
effects, and low-intensity alternatives have long been in demand. The advances in AI …
effects, and low-intensity alternatives have long been in demand. The advances in AI …
Polynomial function error stair of reservoir computing and its applications in characterizing the learning capability
L Jia, Z Yan, H Zhao, J Gao, J Xiao - Nonlinear Dynamics, 2024 - Springer
Abstract Machine learning methods based on reservoir computing have shown great
potential in predicting the dynamics of complex systems. However, the learning and …
potential in predicting the dynamics of complex systems. However, the learning and …
A dynamic learning method for phase synchronization control in Hodgkin–Huxley neuronal networks
Q Ding, Y Wu, W Huang, Y Jia - The European Physical Journal Special …, 2024 - Springer
The mathematical optimization techniques may control the network to target firing patterns
by adjusting the weights of network nodes. Inspired by the dynamics of dynamical learning …
by adjusting the weights of network nodes. Inspired by the dynamics of dynamical learning …