dc.contributor.author | Starikovičius, Vadimas | |
dc.date.accessioned | 2023-09-18T16:19:20Z | |
dc.date.available | 2023-09-18T16:19:20Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/113171 | |
dc.description.abstract | In recent years, deep neural networks have shown the impressive results in solving different tasks in computer vision, natural language processing, game theory, etc. Deep Learning has transformed how categorization, pattern recognition, and regression tasks are performed today across various application domains. The use of artificial neural networks to solve ordinary differential equation problems has started in the 1990s [1]. Various algorithms have been proposed since that time for solving ordinary and partial differential equations on regular and irregular domains [2]. The search and selection of suitable neural network architecture is a difficult task. In this talk, we consider Physics-Informed Neural Networks (PINN) [3] that encode the differential model equations as a component of the neural network itself. | eng |
dc.format.extent | p. 21 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.source.uri | http://inga.vgtu.lt/~art/konf/2020/abstr/MMA_2022_abstracts.pdf | |
dc.title | Artificial neural networks for solving ordinary and partial differential equations | |
dc.type | Konferencijos pranešimo santrauka / Conference presentation abstract | |
dcterms.references | 3 | |
dc.type.pubtype | T2 - Konferencijos pranešimo tezės / Conference presentation abstract | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
dc.subject.researchfield | N 001 - Matematika / Mathematics | |
dc.subject.vgtuprioritizedfields | FM0101 - Fizinių, technologinių ir ekonominių procesų matematiniai modeliai / Mathematical models of physical, technological and economic processes | |
dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
dcterms.sourcetitle | Mathematical Modelling and Analysis [MMA2022] : 25th international conference, May 30 - June 2, 2022, Druskininkai, Lithuania : abstracts | |
dc.publisher.name | Vilnius Gediminas Technical University | |
dc.publisher.city | Vilnius | |
dc.identifier.elaba | 132288623 | |