Procedia Computer Science, volume 193, pages 285-294
Multi-objective closed-form algebraic expressions discovery approach application to the synthetic time-series generation
Publication type: Journal Article
Publication date: 2021-11-19
Journal:
Procedia Computer Science
Quartile SCImago
— Quartile WOS
—
Impact factor: —
ISSN: 18770509
General Medicine
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Procedia Computer Science
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Procedia Computer Science
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Elsevier
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Elsevier
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Merezhnikov M., Hvatov A. Multi-objective closed-form algebraic expressions discovery approach application to the synthetic time-series generation // Procedia Computer Science. 2021. Vol. 193. pp. 285-294.
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Merezhnikov M., Hvatov A. Multi-objective closed-form algebraic expressions discovery approach application to the synthetic time-series generation // Procedia Computer Science. 2021. Vol. 193. pp. 285-294.
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TY - JOUR
DO - 10.1016/j.procs.2021.10.029
UR - https://doi.org/10.1016%2Fj.procs.2021.10.029
TI - Multi-objective closed-form algebraic expressions discovery approach application to the synthetic time-series generation
T2 - Procedia Computer Science
AU - Merezhnikov, Mark
AU - Hvatov, Alexander
PY - 2021
DA - 2021/11/19 00:00:00
PB - Elsevier
SP - 285-294
VL - 193
SN - 1877-0509
ER -
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@article{2021_Merezhnikov
author = {Mark Merezhnikov and Alexander Hvatov},
title = {Multi-objective closed-form algebraic expressions discovery approach application to the synthetic time-series generation},
journal = {Procedia Computer Science},
year = {2021},
volume = {193},
publisher = {Elsevier},
month = {nov},
url = {https://doi.org/10.1016%2Fj.procs.2021.10.029},
pages = {285--294},
doi = {10.1016/j.procs.2021.10.029}
}
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