103 citations · 682 across the 48 of their papers we have counts for
3 papers · 2 filters
Time Series Forecasting Using Manifold Learning
Panagiotis Papaioannou, Ronen Talmon, Ioannis Kevrekidis +1
We address a three-tier numerical framework based on manifold learning for the forecasting of high-dimensional time series. At the first step, we embed the time series into a reduc…
Numerical Solution of Stiff ODEs with Physics-Informed RPNNs
Evangelos Galaris, Gianluca Fabiani, Francesco Calabrò +2
We propose a numerical method based on physics-informed Random Projection Neural Networks for the solution of Initial Value Problems (IVPs) of Ordinary Differential Equations (ODEs…
Numerical Solution and Bifurcation Analysis of Nonlinear Partial Differential Equations with Extreme Learning Machines
Gianluca Fabiani, Francesco Calabrò, Lucia Russo +1
We address a new numerical scheme based on a class of machine learning methods, the so-called Extreme Learning Machines with both sigmoidal and radial-basis functions, for the comp…