Parameters Estimation of a Lotka-Volterra Model in an Application for Market Graphics Processing Units
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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.
Originalsprache | Englisch |
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Titel | Proceedings of the 17th Conference on Computer Science and Intelligence Systems |
Herausgeber | Maria Ganzha, Leszek Maciaszek, Marcin Paprzycki, Dominik Slezak |
Anzahl der Seiten | 4 |
Erscheinungsort | Warsaw |
Verlag | Polish Information Processing Society |
Erscheinungsdatum | 26.09.2022 |
Seiten | 935-938 |
ISBN (Print) | 9788396589712 |
ISBN (elektronisch) | 978-83-965897-1-2, 978-83-965897-0-5, 978-83-962423-9-6 |
DOIs | |
Publikationsstatus | Erschienen - 26.09.2022 |
Veranstaltung | Conference - 17th Conference on Computer Science and Intelligence Systems - Hybrid / NATO Crisis Management and Disaster Response Centre of Excellence , Sofia, Bulgarien Dauer: 04.09.2022 → 07.09.2022 Konferenznummer: 17 https://fedcsis.org/2022/node |
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