Papers matching “neural network approximation” 240
Not finding it? Sign in to also search OpenAlex live.
-
Data from: Accelerating greenhouse gas retrievals with neural network-based forward models2026 Zenodo (CERN European Organization for Nuclear Research) dataset Environmental Science Atmospheric and Environmental Gas Dynamics Open access
Fiona Lippert, Andrew Gerald Barr, Marcos Herreras-Giralda, Masahiro Momoi, Fernando Rejano, Sha Lu, +4 more
0citations -
Data from: Accelerating greenhouse gas retrievals with neural network-based forward models2026 Zenodo (CERN European Organization for Nuclear Research) dataset Environmental Science Atmospheric and Environmental Gas Dynamics Open access
Fiona Lippert, Andrew Gerald Barr, Marcos Herreras-Giralda, Masahiro Momoi, Fernando Rejano, Sha Lu, +4 more
0citations -
Smaller generalization error derived for a deep residual neural network compared with shallow networks2022 IMA Journal of Numerical Analysis article Computer Science Stochastic Gradient Optimization Techniques Open access
Aku Kammonen, Jonas Kiessling, Petr Plecháč, Mattias Sandberg, Anders Szepessy, Raul F. Tempone
4citations -
Estimating Dense-Packed Zone Height in Liquid-Liquid Separation: A Physics-Informed Neural Network Approach2026 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Mehmet Velioglu, Song Zhai, Alexander Mitsos, Adel Mhamdi, Andreas Jupke, Manuel Dahmen
0citations -
Estimating Dense-Packed Zone Height in Liquid-Liquid Separation: A Physics-Informed Neural Network Approach2026 RWTH Publications (RWTH Aachen) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Mehmet Velioglu, Song Zhai, Alexander Mitsos, Adel Mhamdi, Andreas Jupke, Manuel Dahmen
0citations -
Enhancing BEV Energy Management: Neural Network-Based System Identification for Thermal Control Strategies2024 SAE technical papers on CD-ROM/SAE technical paper series conference-paper Engineering Advanced Battery Technologies Research
Kai Franke, David Hemkemeyer, Patrick Schutzeich, Lukas Schäfers, Stefan Pischinger
0citations -
Intelligent stiffness computation for plate and beam structures by neural network enhanced finite element analysis2022 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks
Saurabh Balkrishna Tandale, Bernd A. Markert, Marcus Stoffel
30citations -
Stable Recovery of Entangled Weights: Towards Robust Identification of Deep Neural Networks from Minimal Samples2021 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access
Christian Fiedler, Massimo Fornasier, Timo Klock, Michael Rauchensteiner
0citations