Sep 13, 2023 · Abstract:The discovery of governing equations from data has been an active field of research for decades. One widely used methodology for ...
Sep 20, 2023 · One widely used methodology for this purpose is sparse regression for nonlinear dynamics, known as SINDy. Despite several attempts, noisy and ...
Sep 13, 2023 · Abstract: The discovery of governing equations from data has been an active field of research for decades. One widely used methodology for ...
Sep 13, 2023 · The discovery of governing equations from data has been an active field of research for decades. One widely used methodology for this ...
A Robust SINDy Approach by Combining Neural Networks and an Integral Form · A. ForootaniP. GoyalP. Benner. Engineering, Mathematics. ArXiv. 2023. TLDR. A robust ...
In this paper, we extend the results of a SINDy based deep learning model discovery (DeePyMoD) approach by integrating greedy sampling technique in its data ...
A Robust SINDy Approach by Combining Neural Networks and an Integral Form Ali Forootani, Pawan Goyal, and Peter Benner arXiv Preprint arXiv: 2309.07193 ...
A Robust SINDy Approach by Combining Neural Networks and an Integral Form ... The discovery of governing equations from data has been an active field of research ...
A Robust SINDy Approach by Combining Neural Networks and an Integral Form ... In the current work, we present an approach for combining deep neural networks with ...
Forootani, A., Goyal, P. K., & Benner, P. (in preparation). A Robust SINDy Approach by Combining Neural Networks and an Integral Form. Item is 公開 ...