Parameters Estimation of a Lotka-Volterra Model in an Application for Market Graphics Processing Units

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

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.

OriginalspracheEnglisch
TitelProceedings of the 17th Conference on Computer Science and Intelligence Systems
HerausgeberMaria Ganzha, Leszek Maciaszek, Marcin Paprzycki, Dominik Slezak
Anzahl der Seiten4
ErscheinungsortWarsaw
VerlagPolish Information Processing Society
Erscheinungsdatum26.09.2022
Seiten935-938
ISBN (Print)9788396589712
ISBN (elektronisch)978-83-965897-1-2, 978-83-965897-0-5, 978-83-962423-9-6
DOIs
PublikationsstatusErschienen - 26.09.2022
VeranstaltungConference - 17th Conference on Computer Science and Intelligence Systems - Hybrid / NATO Crisis Management and Disaster Response Centre of Excellence , Sofia, Bulgarien
Dauer: 04.09.202207.09.2022
Konferenznummer: 17
https://fedcsis.org/2022/node

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© 2022 Polish Information Processing Society.

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