1 citations · 2 across the 2 of their papers we have counts for
2 papers
math.NA2024★ 1 cited
An Orthogonal Polynomial Kernel-Based Machine Learning Model for Differential-Algebraic Equations
Tayebeh Taheri, Alireza Afzal Aghaei, Kourosh Parand
The recent introduction of the Least-Squares Support Vector Regression (LS-SVR) algorithm for solving differential and integral equations has sparked interest. In this study, we ex…
cs.LG2024★ 1 cited
Accelerating Fractional PINNs using Operational Matrices of Derivative
Tayebeh Taheri, Alireza Afzal Aghaei, Kourosh Parand
This paper presents a novel operational matrix method to accelerate the training of fractional Physics-Informed Neural Networks (fPINNs). Our approach involves a non-uniform discre…