Gépi tanulás, statisztikus adatfeldolgozás, jelfeldolgozáson alapuló alkalmazások
(pl. beszéd, kép, videó)
Mesterséges intelligencia és döntéstámogatás
Műszaki és technológiai tudományok
This article presents a comprehensive review of the machine learning methods used
to model the service life of various products, which is a critical aspect of product
development and production. With the recent advances in machine learning, it has become
increasingly feasible to utilize these methods for modeling service life accurately.
This review provides a detailed examination of the existing literature on machine
learning applications for modeling service life, including a bibliometric analysis
of the most frequently cited works. Furthermore, this review presents a taxonomy of
the various machine learning methods employed in service life modeling, highlighting
the fundamental methods such as Artificial neural networks, Support vector machine,
and decision trees. The results of this review demonstrate the potential of machine
learning methods for accurately modeling service life, while also emphasizing the
need for further research in this field. Overall, this article provides a valuable
resource for researchers and practitioners looking to apply machine learning methods
for modeling service life.
