15 citations · 15 across the 2 of their papers we have counts for
2 papers
cs.SD2024
Identification of Physical Properties in Acoustic Tubes Using Physics-Informed Neural Networks
Kazuya Yokota, Masataka Ogura, Masajiro Abe
Physics-informed Neural Networks (PINNs) is a method for numerical simulation that incorporates a loss function corresponding to the governing equations into a neural network. Whil…
cs.SD2023★ 15 cited
Physics-informed neural network for acoustic resonance analysis in a one-dimensional acoustic tube
Kazuya Yokota, Takahiko Kurahashi, Masajiro Abe
This study devised a physics-informed neural network (PINN) framework to solve the wave equation for acoustic resonance analysis. The proposed analytical model, ResoNet, minimizes…