Standard

Identification of Nonlinearity and Chaos Characteristics in Observational Time Series as an Element of Machine Learning. / Макшанов, Андрей; Мусаев, Александр Азерович; Григорьев, Дмитрий Алексеевич.

2025 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). Institute of Electrical and Electronics Engineers Inc., 2025. p. 460-465.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Макшанов, А, Мусаев, АА & Григорьев, ДА 2025, Identification of Nonlinearity and Chaos Characteristics in Observational Time Series as an Element of Machine Learning. in 2025 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). Institute of Electrical and Electronics Engineers Inc., pp. 460-465, International Conference on Industrial Engineering, 11/05/25. https://doi.org/10.1109/icieam65163.2025.11028395

APA

Макшанов, А., Мусаев, А. А., & Григорьев, Д. А. (2025). Identification of Nonlinearity and Chaos Characteristics in Observational Time Series as an Element of Machine Learning. In 2025 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM) (pp. 460-465). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/icieam65163.2025.11028395

Vancouver

Макшанов А, Мусаев АА, Григорьев ДА. Identification of Nonlinearity and Chaos Characteristics in Observational Time Series as an Element of Machine Learning. In 2025 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). Institute of Electrical and Electronics Engineers Inc. 2025. p. 460-465 https://doi.org/10.1109/icieam65163.2025.11028395

Author

Макшанов, Андрей ; Мусаев, Александр Азерович ; Григорьев, Дмитрий Алексеевич. / Identification of Nonlinearity and Chaos Characteristics in Observational Time Series as an Element of Machine Learning. 2025 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). Institute of Electrical and Electronics Engineers Inc., 2025. pp. 460-465

BibTeX

@inproceedings{ba5ba895817247d1ae079efa8a351c53,
title = "Identification of Nonlinearity and Chaos Characteristics in Observational Time Series as an Element of Machine Learning",
author = "Андрей Макшанов and Мусаев, {Александр Азерович} and Григорьев, {Дмитрий Алексеевич}",
year = "2025",
month = may,
day = "12",
doi = "10.1109/icieam65163.2025.11028395",
language = "English",
isbn = "9798331512194",
pages = "460--465",
booktitle = "2025 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "International Conference on Industrial Engineering, ICIE ; Conference date: 11-05-2025 Through 17-05-2025",
url = "https://icie-rus.org/",

}

RIS

TY - GEN

T1 - Identification of Nonlinearity and Chaos Characteristics in Observational Time Series as an Element of Machine Learning

AU - Макшанов, Андрей

AU - Мусаев, Александр Азерович

AU - Григорьев, Дмитрий Алексеевич

N1 - Conference code: 2025

PY - 2025/5/12

Y1 - 2025/5/12

UR - https://www.mendeley.com/catalogue/88b61e4a-0b5d-3bea-8728-a5e4b5a12a70/

U2 - 10.1109/icieam65163.2025.11028395

DO - 10.1109/icieam65163.2025.11028395

M3 - Conference contribution

SN - 9798331512194

SP - 460

EP - 465

BT - 2025 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - International Conference on Industrial Engineering

Y2 - 11 May 2025 through 17 May 2025

ER -

ID: 137506315