Higher-order neural networks for efficient physics-informed solutions of partial differential equations

dc.contributor.author	Kovář
dc.contributor.author	Fürst, J.
dc.contributor.editor	Adámek, Vítězslav
dc.contributor.editor	Jonášová, Alena
dc.contributor.editor	Plánička, Stanislav
dc.date.accessioned	2025-12-10T10:51:20Z
dc.date.available	2025-12-10T10:51:20Z
dc.date.issued	2025
dc.description.sponsorship	SGS25/123/OHK2/3T/12	en
dc.format	4 s.	cs
dc.format.mimetype	application/pdf
dc.format.version	publishedVersion	en
dc.identifier.isbn	978-80-261-1254-9
dc.identifier.uri	http://hdl.handle.net/11025/64226
dc.language.iso	en	en
dc.publisher	University of West Bohemia in Pilsen	en
dc.rights	© University of West Bohemia in Pilsen	en
dc.rights.access	openAccess	en
dc.subject	fyzikálně informované neuronové sítě	cs
dc.subject	parciální diferenciální rovnice	cs
dc.subject	neuronové sítě vyššího řádu	cs
dc.subject.translated	physics-informed neural networks	en
dc.subject.translated	partial differential equations	en
dc.subject.translated	higher-order neural networks	en
dc.title	Higher-order neural networks for efficient physics-informed solutions of partial differential equations	en
dc.type	konferenční příspěvek	cs
dc.type	conferenceObject	en
dc.type.status	Peer reviewed	en
local.files.count	2	*
local.files.size	1258892	*
local.has.files	yes	*

Files

Showing 1 - 2 out of 2 results

Showing 1 - 1 out of 1 results