Application of deep learning methods in management
Application of deep learning methods in management
Author(s): Dariusz BaduraSubject(s): Business Economy / Management, Methodology and research technology, ICT Information and Communications Technologies
Published by: Wydawnictwo Wyższej Szkoły Menedżerskiej w Warszawie
Keywords: artificial neural network; business intelligence; classification; deep belief network (DBN); deep learning; prediction;
Summary/Abstract: Finding more effective solution and tools for big data in management problems is one of the most important and dominant trends in management studies. With the advancement of computer, communication technology and especially artificial intelligence, the tools that are used for management decisions have undergone a change from simple algorithms to many layer neural network methods. Nowadays Deep learning (DL) algorithms are one of the most efficient tools that may become a critical component of business intelligence. In the paper will be described the basic of deep learning methods as well as a review of selected works done in application of DL algorithms in management sciences. It will be described the proposed exemplary solution, that can be done with use of Deep Belief Network, one of the DL methods.
Journal: Zarządzanie. Teoria i Praktyka
- Issue Year: 25/2018
- Issue No: 3
- Page Range: 9-15
- Page Count: 7
- Language: English