- https://doi.org/10.1007/s11071-025-11812-x
A novel reservoir computing for inferring hyperchaotic systems from partial observation
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Translate Article Take Notes A novel reservoir computing for inferring hyperchaotic systems from partial observation
ReferencesShowing 10 of 24 papersObserving chaos: Deducing and tracking the state of a chaotic system from limited observation. Predicting chaotic time series and replicating chaotic attractors based on two novel echo state network models MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction Next generation reservoir computing Hyperchaotic Lorenz system Reservoir observers: Model-free inference of unmeasured variables in chaotic systems. Learning hidden dynamics using echo state network A homotopy method of finding periodic solutions for ordinary differential equations from the upper and lower solutions A new hyperchaotic system Estimability and dependency analysis of model parameters based on delay coordinates.
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