Parameters Estimation of a Lotka-Volterra Model in an Application for Market Graphics Processing Units
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
In this paper, a least squares method is used to estimate parameter values in the Lotka-Volterra model. The data used are graphics processing units (GPU) shipment worldwide by three key competitors, namely Nvidia, Intel, AMD. The goal is to quantify the parameter values of a model with minimal error in order to qualitatively solve the problem and fit the raw data as closely as possible. Based on the real measurements, the predator between the competitors is recognized through the identification procedure comparing the sign of the coefficients with the original Lotka-Volterra model structure.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 17th Conference on Computer Science and Intelligence Systems |
| Editors | Maria Ganzha, Leszek Maciaszek, Marcin Paprzycki, Dominik Slezak |
| Number of pages | 4 |
| Place of Publication | Warsaw |
| Publisher | Polish Information Processing Society |
| Publication date | 26.09.2022 |
| Pages | 935-938 |
| ISBN (Print) | 9788396589712 |
| ISBN (Electronic) | 978-83-965897-1-2, 978-83-965897-0-5, 978-83-962423-9-6 |
| DOIs | |
| Publication status | Published - 26.09.2022 |
| Event | Conference - 17th Conference on Computer Science and Intelligence Systems - Hybrid / NATO Crisis Management and Disaster Response Centre of Excellence , Sofia, Bulgaria Duration: 04.09.2022 → 07.09.2022 Conference number: 17 https://fedcsis.org/2022/node |
Bibliographical note
Publisher Copyright:
© 2022 Polish Information Processing Society.
- Engineering - Computer Science, Parameter estimation, computational modeling, Graphics processing units, Estimation, Data models, Least mean squares methods