Machine Learning of Nonlinear Dynamical Systems with Control Parameters Using Feedforward Neural Networks

August 28, 2024 Β· Declared Dead Β· πŸ› Journal of the Physical Society of Japan

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Authors Hidetsugu Sakaguchi arXiv ID 2409.07468 Category nlin.CD Cross-listed cs.NE, nlin.AO Citations 0 Venue Journal of the Physical Society of Japan Last Checked 3 months ago
Abstract
Several authors have reported that the echo state network reproduces bifurcation diagrams of some nonlinear differential equations using the data for a few control parameters. We demonstrate that a simpler feedforward neural network can also reproduce the bifurcation diagram of the logistics map and synchronization transition in globally coupled Stuart-Landau equations.
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