A study on deep learning methods in the concept of industry 4.0
Küçük Resim Yok
Tarih
2023
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IGI Global
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Nowadays, the main features of Industry 4.0 are interpreted to the ability of machines to communicate with each other and with a system, increasing the production efficiency, and development of the decisionmaking mechanisms of robots. In these cases, new analytical algorithms of Industry 4.0 are needed. By using deep learning technologies, various industrial challenging problems in Industry 4.0 can be solved. Deep learning provides algorithms that can give better results on datasets owing to hidden layers. In this chapter, deep learning methods used in Industry 4.0 are examined and explained. In addition, data sets, metrics, methods, and tools used in the previous studies are explained. This study can lead to artificial intelligence studies with high potential to accelerate the implementation of Industry 4.0. Therefore, the authors believe that it will be a handbook and very useful for researchers who want to do research on this topic. © 2023, IGI Global.
Açıklama
Anahtar Kelimeler
Kaynak
Applied AI and Multimedia Technologies for Smart Manufacturing and CPS Applications
