TCHÓRZEWSKI, Jerzy Rudolf und ZAKRZEWSKI, Maciej, 2024. Analysis of the Possibilities of the Evolutionary Algorithm to Improve the Neural Model of the TGE S.A. Day Ahead Market System Using Selected Programming Environments. Studia Informatica. System & information technology. 1 Juli 2024. Vol. 31, no. 2, p. 87-102. DOI 10.34739/si.2024.31.07.
Elsevier - Harvard (with titles)Tchórzewski, J.R., Zakrzewski, M., 2024. Analysis of the Possibilities of the Evolutionary Algorithm to Improve the Neural Model of the TGE S.A. Day Ahead Market System Using Selected Programming Environments. Studia Informatica. System & information technology 31, 87-102. https://doi.org/10.34739/si.2024.31.07
American Psychological Association 7th editionTchórzewski, J. R., & Zakrzewski, M. (2024). Analysis of the Possibilities of the Evolutionary Algorithm to Improve the Neural Model of the TGE S.A. Day Ahead Market System Using Selected Programming Environments. Studia Informatica. System & Information Technology, 31(2), 87-102. https://doi.org/10.34739/si.2024.31.07
Springer - Basic (author-date)Tchórzewski JR, Zakrzewski M (2024) Analysis of the Possibilities of the Evolutionary Algorithm to Improve the Neural Model of the TGE S.A. Day Ahead Market System Using Selected Programming Environments.. Studia Informatica. System & information technology 31:87-102. https://doi.org/10.34739/si.2024.31.07
Juristische Zitierweise (Stüber) (Deutsch)Tchórzewski, Jerzy Rudolf/ Zakrzewski, Maciej, Analysis of the Possibilities of the Evolutionary Algorithm to Improve the Neural Model of the TGE S.A. Day Ahead Market System Using Selected Programming Environments., Studia Informatica. System & information technology 2024, 87-102.