Prediction of the Time Series by the Various Types of Artificial Neural Networks by the Example of Different Time Intervals of the Content of Methane in the Atmosphere
NTADES 2022 : New Trends of the Applications of Differential Equations in Sciences : 9th International Conference, Sozopol, Bulgaria, 14-17 June 2022
Издателство
Springer Publ.
Местоиздаване
Cham
Година на издаване
2023
Страници
pp. 383-388. -(Spr. Proc. in Math. a. Stat. ; 412)
Допълнителна информация
ISBN
2194-1009; ISBN 978-3-031-21483-7(print); 978-3-03
Забележка
Авт.: Anastasia Butorova, Alexander Buevich, Andrey Shichkin, Aleksandr Sergeev, Elena Baglaeva, Marina Sergeeva, Irina Subbotina, Julian Andreev Vasilev. - Book Ser. (Springer Proceedings in Mathematics and Statistics ; Vol. 412)
Butorova, A. Prediction of the Time Series by the Various Types of Artificial Neural Networks by the Example of Different Time Intervals of the Content of Methane in the Atmosphere. Cham: Springer Publ., 2023 pp. 383-388. -(Spr. Proc. in Math. a. Stat. ; 412), 2194-1009; ISBN 978-3-031-21483-7(print); 978-3-03.
Butorova, A. Prediction of the Time Series by the Various Types of Artificial Neural Networks by the Example of Different Time Intervals of the Content of Methane in the Atmosphere. Cham: Springer Publ., 2023 pp. 383-388. -(Spr. Proc. in Math. a. Stat. ; 412), 2194-1009; ISBN 978-3-031-21483-7(print); 978-3-03.
Butorova, A. (2023) Prediction of the Time Series by the Various Types of Artificial Neural Networks by the Example of Different Time Intervals of the Content of Methane in the Atmosphere, Cham: Springer Publ. pp. 383-388. -(Spr. Proc. in Math. a. Stat. ; 412), 2194-1009; ISBN 978-3-031-21483-7(print); 978-3-03.
Butorova, A. (2023). Prediction of the Time Series by the Various Types of Artificial Neural Networks by the Example of Different Time Intervals of the Content of Methane in the Atmosphere. Cham: Springer Publ., pp. 383-388. -(Spr. Proc. in Math. a. Stat. ; 412).
Butorova A. Prediction of the Time Series by the Various Types of Artificial Neural Networks by the Example of Different Time Intervals of the Content of Methane in the Atmosphere. Cham: Springer Publ.; 2023. p. pp. 383-388. -(Spr. Proc. in Math. a. Stat. ; 412). ISBN: 2194-1009; ISBN 978-3-031-21483-7(print); 978-3-03.
