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

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.

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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)