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Found 3 papers, 1 papers with code
Estimation of Correlation Matrices from Limited time series Data using Machine Learning
Predicting correlation matrices from partial time series information of a few nodes characterizes the spatio-temporal dynamics of the entire underlying system.
Machine Learning assisted Chimera and Solitary states in Networks
First, the chimera states (solitary states) are engineered by establishing delays in the neighboring links of a node (the interlayer links) in a 2-D lattice (multiplex network) of oscillators.
Identification of Chimera using Machine Learning
The oblique random forest with null space regularization achieved consistent performance (more than $83\%$ accuracy) across different dynamical models while the auto-encoder based random vector functional link neural network showed relatively lower performance.
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