Abstract: Loss landscape is a useful tool for characterizing and comparing neural network models. The main challenge for analysis of loss landscape for the deep neural networks is that they are ...
The PIML4PDE framework is designed to solve Partial Differential Equations (PDEs) using Physics-Informed Machine Learning (PIML). This framework is intended for educational purposes, demonstrating ...
Abstract: The ubiquity of Internet of Things (IoT) systems has seamlessly integrated into our daily lives, particularly in smart homes where devices continuously monitor and optimize our living ...
To address the sensitivity of parameters and limited precision for physics-informed extreme learning machines(PIELM) with common activation functions, such as sigmoid ...
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