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Articles by keyword neural network models
An approach to assessing the technical condition of elements and nodes of transport systems using neural network modeling methods and digital twin technology

V.V. Belousov1,O.V. Druzhinina2, E.R. Korepanov3,  I.V. Makarenkova4, V.V. Maksimova5

1-5 FRС «Computer Science and Control» of RAS (Moscow, Russia)

Use of ALEXNET and VGGNET convolutional networks in the problem of image classification of welded joints

T.Yu. Tsibizova1, Abderrazek Abdessellem2

1–3 Bauman Moscow State Technical University (Moscow, Russia)
 

Comparative analysis of neural network models for classification of earth surface zones from optical images

E.A. Antokhin1, A.A. Zalishchuk2, V.A. Nenashev3, S.А. Nenashev4

1-4 St. Petersburg State University of Aerospace Instrument Engineering (St. Petersburg, Russia)

1 fresguap@mail.ru; 2 sacha1501@yandex.ru; 3 nenashev.va@yandex.ru; 4 nenashev_sergey178@mail.ru

Application of hybrid neural networks to predict changes in the technical condition of a railway track

M.A. Ludagovskaya1, E.D. Larionova2
1, 2 Russian University of Transport (MIIT) (Moscow, Russia)

1 m.ludagovskaya@gmail.com, 2 Eva.sh.2363@gmail.com

Validation of a universal computational express method for developing a neural network model to evaluate the properties of PVC composites

A.R. Mukhutdinov1, M.G. Efimov2

1 Kazan National Research Technological University (Kazan, Russia)
2 Kazan Innovative University (Kazan, Russia)
1muhutdinov@rambler.ru, 2jero07@bk.ru