SCALABLE ACTIVATION FUNCTION EMPLOYMENT IN PHYSICS INFORMED HIGHER ORDER NEURAL NETWORKS FOR INITIAL VALUE PROBLEM APPROXIMATION
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F23%3A00370807" target="_blank" >RIV/68407700:21220/23:00370807 - isvavai.cz</a>
Result on the web
<a href="https://isimconference.eu/" target="_blank" >https://isimconference.eu/</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
SCALABLE ACTIVATION FUNCTION EMPLOYMENT IN PHYSICS INFORMED HIGHER ORDER NEURAL NETWORKS FOR INITIAL VALUE PROBLEM APPROXIMATION
Original language description
There are many physical phenomena in the engineering applications, which are governed by ordinary differential equations. In the practice these problems are approximated using classical numerical methods. Present contribution deals with an alternative approximation method – higher order neural networks and furthermore, employment of the scalable activation function which can accelerate speed of the convergence is discussed. Basic ideas of the methods are introduced and designed architectures are tested on initial value problem. A comparison of the results quality between three neural network architectures is performed. Improvement in the speed of the convergence has been reached.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF16_019%2F0000826" target="_blank" >EF16_019/0000826: Center of Advanced Aerospace Technology</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
BOOK OF ABSTRACTS ISIM&ISWIM
ISBN
—
ISSN
2821-8779
e-ISSN
2821-8779
Number of pages
2
Pages from-to
88-89
Publisher name
1 Decembrie 1918 University
Place of publication
Alba Iulia
Event location
Bucharest
Event date
Jun 28, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—