2022, Vol. 7, No. 3. - go to content...

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Smirnov E.E., Kostyleva V.V., Razin I.B., Murtazina A.R. Training of a multilayer neural network to determine the size of clothes by anthropological parameters. Journal of Clothing Science. 2022; 7(3). Available at: https://kostumologiya.ru/PDF/11TLKL322.pdf (in Russian).

Training of a multilayer neural network to determine the size of clothes by anthropological parameters

Smirnov Evgeniy Evgenʹevich
Russian State University named A.N. Kosygin (Technologies. Design. Art), Moscow, Russia
E-mail: evg7162@mail.ru
RSCI: https://elibrary.ru/author_profile.asp?id=1097456

Kostyleva Valentina Vladimirovna
Russian State University named A.N. Kosygin (Technologies. Design. Art), Moscow, Russia
E-mail: kostyleva-vv@rguk.ru
RSCI: https://elibrary.ru/author_profile.asp?id=353612

Razin Igorʹ Borisovich
Russian State University named A.N. Kosygin (Technologies. Design. Art), Moscow, Russia
E-mail: razin-ib@rguk.ru
RSCI: https://elibrary.ru/author_profile.asp?id=850439

Murtazina Alʹfiya Rustyamovna
Russian State University named A.N. Kosygin (Technologies. Design. Art), Moscow, Russia
E-mail: aly1029@yandex.ru
RSCI: https://elibrary.ru/author_profile.asp?id=906389

Abstract. The article changed the principle of constructing neural networks. With the help of a later architecture, it is possible to solve problems that are practically not solved for use by software algorithms. A pronounced large neural network can lead to a significant expansion of work into several subsequent abstractions. Thus, it is possible to solve the problem of recognizing images of figures, objects in the image. Classify objects, their content and composition in general. Knowing the assessment and reading of user behavior in online stores, it is possible to assume with a high degree of probability the most dangerous positions for each client without investigating and storing data. Based on the data identified in the work of access, about the height, weight and increase in the number of a large number of users, implemented and taking into account the neural network in order to solve the problems of determining the size of the sizes suitable for the consumer according to his anthropological parameters. This is probably more likely and willing to pick up items.

Keywords: neural network; machine learning; data processing; deep learning; classification; light industry products

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