NEURAL NETWORKS IN THE MANAGEMENT OF COMPLEX TECHNICAL SYSTEMS

Autor:	R.L Panteev
Jazyk:	English<br />Russian<br />Ukrainian
Rok vydání:	2019
Předmět:	artificial intelligence neural network control system error feedback dynamic object automatic control adaptive control. Psychology BF1-990 Economics as a science HB71-74
Zdroj:	Вісник: Київський інститут бізнесу та технологій, Vol 40, Iss 2, Pp 68-72 (2019)
Druh dokumentu:	article
ISSN:	2707-1820 2707-1839
DOI:	10.37203/kibit.2019.40.16
Popis:	The methods of application of neural networks for solving the problems of control of dynamic objects are considered. For each type of neural control, the circuits for connecting the neural networks within the control system are presented and the procedures for their training are described in detail. The advantages and disadvantages of the described methods are analyzed.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/084e2f4d2e9446648ac6d86739b3fc2a Zobrazit plný text záznamu View record in DOAJ