Automatic differential equations identification by self-configuring genetic programming algorithm : доклад, тезисы доклада

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: II International Scientific Conference "Advanced Technologies in Aerospace, Mechanical and Automation Engineering"; Krasnoyarsk; Krasnoyarsk

Год издания: 2020

Идентификатор DOI: 10.1088/1757-899X/734/1/012093

Аннотация: The paper considers a reduction of differential equations identification problem to the symbolic regression task. The current approach allows automatic determining the structure of a differential equation via the usage of the self-configuring genetic programming algorithm. The a priori information needed is only the dynamic system Показать полностьюinitial point and the sample of input and output effects. The stability of the proposed approach to the presence of noise in the sample and the small amount of data is investigated.

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Издание

Журнал: IOP Conference Series: Materials Science and Engineering

Выпуск журнала: 734

Номера страниц: 12093

Издатель: Institute of Physics and IOP Publishing Limited

Персоны

  • Karaseva T.S. (Reshetnev Siberian State University of Science and Technology)

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