Search Results - "Meiyazhagan, J."
-
1
Model-free prediction of emergence of extreme events in a parametrically driven nonlinear dynamical system by deep learning
Published in The European physical journal. B, Condensed matter physics (01-08-2021)“…We predict the emergence of extreme events in a parametrically driven nonlinear dynamical system using three Deep Learning models, namely Multi-Layer…”
Get full text
Journal Article -
2
Prediction of occurrence of extreme events using machine learning
Published in European physical journal plus (01-01-2022)“…Machine learning models play a vital role in the prediction task in several fields of study. In this work, we utilize the ability of machine learning…”
Get full text
Journal Article -
3
Prediction of chaotic attractors in quasiperiodically forced logistic map using deep learning
Published 18-03-2022“…We forecast two different chaotic dynamics of the quasiperiodically forced logistic map using the well-known deep learning framework Long Short-Term Memory. We…”
Get full text
Journal Article -
4
Model-free prediction of emergence of extreme events in a parametrically driven nonlinear dynamical system by Deep Learning
Published 14-07-2021“…We predict the emergence of extreme events in a parametrically driven nonlinear dynamical system using three Deep Learning models, namely Multi-Layer…”
Get full text
Journal Article -
5
Data driven soliton solution of the nonlinear Schr\"odinger equation with certain $\mathcal{PT}$-symmetric potentials via deep learning
Published 18-04-2022“…We investigate the physics informed neural network method, a deep learning approach, to approximate soliton solution of the nonlinear Schr\"odinger equation…”
Get full text
Journal Article -
6
Prediction of Occurrence of Extreme Events using Machine Learning
Published 11-10-2021“…Machine learning models play a vital role in the prediction task in several fields of study. In this work, we utilize the ability of machine learning…”
Get full text
Journal Article