Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Schneidereit, Toni"'
Autor:
Schneidereit, Slavomira, Yarahmadi, Ashkan Mansouri, Schneidereit, Toni, Breuß, Michael, Gebauer, Marc
In this paper we extensively explore the suitability of YOLO architectures to monitor the process flow across a Fischertechnik industry 4.0 application. Specifically, different YOLO architectures in terms of size and complexity design along with diff
Externí odkaz:
http://arxiv.org/abs/2301.12827
Autor:
Schneidereit, Toni, Breuß, Michael
A classic approach for solving differential equations with neural networks builds upon neural forms, which employ the differential equation with a discretisation of the solution domain. Making use of neural forms for time-dependent differential equat
Externí odkaz:
http://arxiv.org/abs/2112.12517
Autor:
Schneidereit, Toni, Breuß, Michael
Several neural network approaches for solving differential equations employ trial solutions with a feedforward neural network. There are different means to incorporate the trial solution in the construction, for instance one may include them directly
Externí odkaz:
http://arxiv.org/abs/2103.15413
Autor:
Khan Mohammadi, Mohsen1 (AUTHOR) khanmmoh@b-tu.de, Schneidereit, Toni1 (AUTHOR), Mansouri Yarahmadi, Ashkan1 (AUTHOR), Breuß, Michael1 (AUTHOR)
Publikováno v:
AI. Jun2024, Vol. 5 Issue 2, p576-593. 18p.
Autor:
Schneidereit, Toni, Breuß, Michael
Feedforward neural networks offer a promising approach for solving differential equations. However, the reliability and accuracy of the approximation still represent delicate issues that are not fully resolved in the current literature. Computational
Externí odkaz:
http://arxiv.org/abs/2012.01867
Autor:
Schneidereit, Toni1 (AUTHOR) Toni.Schneidereit@b-tu.de, Breuß, Michael1 (AUTHOR)
Publikováno v:
Advances in Continuous & Discrete Models. 10/25/2023, Vol. 2023 Issue 1, p1-27. 27p.
Autor:
Schneidereit, Toni1 (AUTHOR) Toni.Schneidereit@b-tu.de, Breuß, Michael1 (AUTHOR)
Publikováno v:
Neural Computing & Applications. May2022, Vol. 34 Issue 10, p7975-7989. 15p.
Autor:
Schneidereit, Toni1 (AUTHOR) Toni.Schneidereit@b-tu.de, Breuß, Michael1 (AUTHOR)
Publikováno v:
Neural Computing & Applications. May2022, Vol. 34 Issue 9, p7141-7156. 16p.
Autor:
Schneidereit, Toni
Solving differential equations is still a topic of major interest, due to their appearance in many fields of science and engineering and a classic approach with neural networks builds upon trial solutions, the so-called neural forms. The latter are i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::749b70873468052955ad04b69f7f8cdc
https://opus4.kobv.de/opus4-btu/files/6389/Schneidereit_Toni.pdf
https://opus4.kobv.de/opus4-btu/files/6389/Schneidereit_Toni.pdf