Browsing Department of Computational and Data Sciences (CDS) by Subject "Activation function"
Now showing items 1-1 of 1
-
Learning Multiple Initial Conditions using Physics Informed Neural Networks
Physics-Informed Neural Networks (PINNs) and its variants have emerged as a tool for solving differential equations in the past few years. Although several variants of PINNs have been proposed, the majority of these ...