25 citations · 50 across the 4 of their papers we have counts for
4 papers
Data driven soliton solution of the nonlinear Schrödinger equation with certain -symmetric potentials via deep learning
J. Meiyazhagan, K. Manikandan, J. B. Sudharsan +1
We investigate the physics informed neural network method, a deep learning approach, to approximate soliton solution of the nonlinear Schrödinger equation with parity time symmetri…
Prediction of chaotic attractors in quasiperiodically forced logistic map using deep learning
J. Meiyazhagan, M. Senthilvelan
We forecast two different chaotic dynamics of the quasiperiodically forced logistic map using the well-known deep learning framework Long Short-Term Memory. We generate two data se…
Prediction of Occurrence of Extreme Events using Machine Learning
J. Meiyazhagan, S. Sudharsan, A. Venkatasen +1
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 algorithms to predict the occu…
Model-free prediction of emergence of extreme events in a parametrically driven nonlinear dynamical system by Deep Learning
J. Meiyazhagan, S. Sudharsan, M. Senthilvelan
We predict the emergence of extreme events in a parametrically driven nonlinear dynamical system using three Deep Learning models, namely Multi-Layer Perceptron, Convolutional Neur…