Predicting bifurcation points via extreme learning machine methods trained on time-series datasets and parameters in discrete dynamical systems
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This paper proposes a data-driven method for obtaining the bifurcation points of a system utilizing a method based on Extreme Learning Machine with input parameter channels (ELM-IPC) trained on the time-series datasets from discrete dynamical systems. The inpu... ...
