2 papers
cs.LG2025
A Rapid Physics-Informed Machine Learning Framework Based on Extreme Learning Machine for Inverse Stefan Problems
Pei-Zhi Zhuang, Ming-Yue Yang, Fei Ren +2
The inverse Stefan problem, as a typical phase-change problem with moving boundaries, finds extensive applications in science and engineering. Recent years have seen the applicatio…
cs.LG2025
Physics-Informed Extreme Learning Machine (PIELM) for Tunnelling-Induced Soil-Pile Interactions
Fu-Chen Guo, Pei-Zhi Zhuang, Fei Ren +2
Physics-informed machine learning has been a promising data-driven and physics-informed approach in geotechnical engineering. This study proposes a physics-informed extreme learnin…