Neural-net modeling for direct and inverse problems of shell theory

Описание

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

Конференция: International Scientific and Research Conference on Topical Issues in Aeronautics and Astronautics (TIAA); Krasnoyarsk, RUSSIA; Krasnoyarsk, RUSSIA

Год издания: 2016

Идентификатор DOI: 10.1088/1757-899X/155/1/012031

Ключевые слова: Differential equations, Neural networks, Direct and inverse problems, Engineering design and optimizations, Net model, NET technology, Shell construction, Shell theory, Inverse problems, Differential equations, Neural networks, Direct and inverse problems, Engineering design and optimizations, Net model, NET technology, Shell construction, Shell theory, Inverse problems

Аннотация: Effectiveness of the use of neural-net technology for the solving of shell theory problems is shown. Some results of neural-net interpolation and extrapolation for direct and inverse problems are discussed. Exact accuracy of neural-net solving opens wide latitude for shell constructions engineering design and optimization.

Ссылки на полный текст

Издание

Журнал: XII INTERNATIONAL SCIENTIFIC AND RESEARCH CONFERENCE TOPICAL ISSUES IN AERONAUTICS AND ASTRONAUTICS

Выпуск журнала: Vol. 155

ISSN журнала: 17578981

Место издания: BRISTOL

Издатель: IOP PUBLISHING LTD

Авторы

  • Maximova O.M. (Reshetnev Siberian State Aerosp Univ, Krasnoyarsk 660037, Russia; Siberian Fed Univ, Krasnoyarsk 660041, Russia)
  • Maximova O.A. (Reshetnev Siberian State Aerosp Univ, Krasnoyarsk 660037, Russia; Siberian Fed Univ, Krasnoyarsk 660041, Russia; RAS, Fed Res Ctr KSC SB, Kirensky Inst Phys, Krasnoyarsk 660036, Russia)

Вхождение в базы данных