Abstract
Research findings on Machine Learning are discussed in a new report. According to news reporting originating in Chennai, India, by NewsRx journalists, research stated, "In this study, we employ a machine learning approach to infer the complex dynamics of dragon king extreme events. Specifically, we utilize two distinct machine learning techniques: Echo State Network and Gated Recurrent Unit." Financial support for this research came from Center for Nonlinear Systems, Chennai Institute of Technology (CIT) , India. The news reporters obtained a quote from the research from the Chennai Institute of Technology, "To do so, we consider three distinct systems for predicting dragon kings behavior: a pair of electronic circuits, coupled logistic maps, and Hindmarsh-Rose neurons. We discover that a few actual time series data points, accompanied by their corresponding system parameters, are adequate to capture dragon kings nature. Initially, we demonstrate that systems under consideration possess characteristics of extreme events, with signal amplitudes greater than the critical amplitude threshold. The presence of dragon kings within these observed extreme events is discerned by the emergence of hump-like behavior in the tail distribution of the probability density function and the statistical measures."
NETL
NSTL
Elsevier