Моделирование и анализ данных foF2 с использованием нейронных сетей NARX и вейвлетов

Моделирование и анализ данных foF2 с использованием нейронных сетей NARX и вейвлетов

Необходимость обнаружения аномалий имеет особую актуальность в задачах геофизического мониторинга, требует обеспечения точности и оперативности метода. В работе предлагается подход на основе нейронных сетей NARX для задачи моделирования данных foF2 и обнаружения в них аномалий. Известно, что нейронн...

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Bibliographic Details
Main Authors:	Мандрикова, О.В., Полозов, Ю.А.
Format:	Article
Language:	English
Published:	KamGU by Vitus Bering 2022-12-01
Series:	Vestnik KRAUNC: Fiziko-Matematičeskie Nauki
Subjects:	моделирование временных рядов вейвлеты нейрон- ные сети narx ионосферные параметры time series model wavelet transform neural network narx ionospheric parameters
Online Access:	https://krasec.ru/ru/mandrikova2022414/

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