NEWS
Parameter identifiability problem in physics-based neural networksThe article shows that even if the optimization of physics-informed neural networks for inverse physics is successfully completed, material parameters cannot be uniquely determined. This situation requires a re-evaluation of experimental design and sensor placement strategies in engineering applications. This is a news summary compiled for the AiPulse newsletter — not the original article. The original article is at engrxiv.org. Read the original article AI Critique → English (automatic translation) |