New method of training two-layer sigmoid neural networks using regularization

Описание

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

Конференция: International Workshop on Advanced Technologies in Material Science, Mechanical and Automation Engineering; Krasnoyarsk; Krasnoyarsk

Год издания: 2019

Идентификатор DOI: 10.1088/1757-899X/537/4/042055

Аннотация: We propose a complex learning algorithm for sigmoid Artificial Neural Networks (ANN). We introduce the concept of the working area of a neuron for sigmoid ANNs in the form of a band in the attribute space, its width and location associated with the center

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Издание

Журнал: IOP Conference Series: Materials Science and Engineering

Выпуск журнала: Vol. 537, Is. 4

ISSN журнала: 17578981

Издатель: Institute of Physics Publishing

Авторы

  • Krutikov V.N. (Kemerovo State University, 6 Krasnaya Street, Kemerovo, 650000, Russian Federation)
  • Kazakovtsev L.A. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsky Rabochy Av. 31, Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, Svobodny Prospect 79, Krasnoyarsk, Russian Federation)
  • Shkaberina G.Sh. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsky Rabochy Av. 31, Krasnoyarsk, 660037, Russian Federation)
  • Kazakovtsev V.L. (Saint Petersburg National Research University of Information Technologies, Mechanics and Optics, Kronverksky Av. 49, Saint Petersburg, 197101, Russian Federation)

Вхождение в базы данных

  • Scopus