Naslov
A machine learning approach to modelling and simulating the behaviour of systems with deformable particles

Autori
Lavrić, Zvonimir ; Osman, Krešimir

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
MIPRO 2022 45th Jubilee International Convention Proceedings / Skala, Karolj - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2022, 1109-1114

Skup
45th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2022)

Mjesto i datum
Opatija, Hrvatska, 23.05.2022. - 27.05.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
modelling, simulation, system with deformable particles, machine learning, graphic neural network

Sažetak
The paper presents an approach to model and simulate a discrete system with deformable particles. The observed system is represented and considered as a system with concentrated parameters (particles) connected by elastic springs and damping. The system model thus created is used for learning the graphical neural network, which we intend to use to obtain the results of the simulation with less CPU power. The mathematical model of this system was implemented by creating a computer solution using the Java programming language and the OpenGL 3D graphics standard. Using this model, the problem analysis was performed and the simulation results are presented graphically.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Strojarstvo, Temeljne tehničke znanosti

POVEZANOST RADA