%0 Journal Article %1 journals/eaai/AntonioFLLS23 %A Antonio, Simone Quondam %A Fulginei, Francesco Riganti %A Laudani, Antonino %A Lozito, Gabriele Maria %A Scorretti, Riccardo %D 2023 %J Eng. Appl. Artif. Intell. %K dblp %P 105940 %T Deep neural networks for the efficient simulation of macro-scale hysteresis processes with generic excitation waveforms. %U http://dblp.uni-trier.de/db/journals/eaai/eaai121.html#AntonioFLLS23 %V 121

@article{journals/eaai/AntonioFLLS23, added-at = {2023-11-01T00:00:00.000+0100}, author = {Antonio, Simone Quondam and Fulginei, Francesco Riganti and Laudani, Antonino and Lozito, Gabriele Maria and Scorretti, Riccardo}, biburl = {https://www.bibsonomy.org/bibtex/213a66ee888d242b5054fa321846fb748/dblp}, ee = {https://doi.org/10.1016/j.engappai.2023.105940}, interhash = {e6635f2275bc8f832ff63c196bd46f97}, intrahash = {13a66ee888d242b5054fa321846fb748}, journal = {Eng. Appl. Artif. Intell.}, keywords = {dblp}, month = May, pages = 105940, timestamp = {2024-04-09T02:57:03.000+0200}, title = {Deep neural networks for the efficient simulation of macro-scale hysteresis processes with generic excitation waveforms.}, url = {http://dblp.uni-trier.de/db/journals/eaai/eaai121.html#AntonioFLLS23}, volume = 121, year = 2023 }