11 datasets found

The dataset used in this paper is a time series of the Lorenz system, which is a prototypical chaotic system that models Rayleigh–B´enard convection.

The dataset used in the paper is an electronic circuit, described by a set of coupled differential equations.

The dataset used in the paper is a Mackey-Glass chaotic system, described by a delay-differential equation, which is augmented by an additive drive signal.

The Kuramoto-Sivashinsky system dataset used for reservoir computing experiments.

The Wilson-Cowan system dataset used for reservoir computing experiments.

The Lorenz system dataset used for reservoir computing experiments.

The dataset used for reservoir computing experiments, including Lorenz, Wilson-Cowan, and Kuramoto-Sivashinsky systems.

The Lorenz system is a well-known nonlinear dynamical system to model convective hydrodynamic flows. The consequence of chaos is that, under certain parameterizations, the...

The dataset used in the paper is a Lorenz96 model dataset, which is a minimal chaotic system defined by a set of partial differential equations.

The dataset is used to test the proposed generalized residue network (gResNet) framework for learning unknown governing equations from observational data.

The Lorenz attractor is a non-periodic, non-linear and deterministic ergodic system which is given by the system of ordinary differential equations.