Сибирский федеральный университет

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

Конференция: International Scientific Workshop «MIP Engineering 2019: Advanced Technologies in Material Science, Mechanical and Automation Engineering»; Krasnoyarsk; Krasnoyarsk

Год издания: 2019

Аннотация: This paper discusses the problem of integrating modern methods of forecasting and modeling complex technical objects into the learning process. As an example, the problem of solving a system of ordinary differential equations is considered, which has significant practical application. In particular, solving a system of differential equations can be an essential part of patents. The neural network method to solve this problem by using Matlab simulation software and visual modeling tool Simulink is considered. Efficient cloud-based solution to ordinary differential equations is presented.

Журнал: IOP Conference Series: Materials Science and Engineering

Выпуск журнала: 537

Номера страниц: 32095

Издатель: Institute of Physics and IOP Publishing Limited

• Semenenko M G (RANEPA, Kaluga branch)
• Kniazeva I V (Financial University under the Government of the Russian Federation, Kaluga branch)
• Beckel L S (Bauman Moscow State Technical University, Kaluga branch)
• Rutskiy V N (Siberian Federal University)
• Tsarev R Yu (Siberian Federal University)
• Yamskikh T N (Siberian Federal University)
• Kartsan I N (Reshetnev Siberian State University of Science and Technology)

• РИНЦ (eLIBRARY.RU)
• Ядро РИНЦ (eLIBRARY.RU)