![](/images/graphics-bg.png)
Controlling digital systems via intelligent networks
Joint Authors
Makki, Ghadir Ibrahim
Husayn, Zahir M.
Source
Journal of Kufa for Mathematics and Computer
Issue
Vol. 8, Issue 1 (31 Mar. 2021), pp.28-32, 5 p.
Publisher
University of Kufa Faculty of Mathematics and Computers Science
Publication Date
2021-03-31
Country of Publication
Iraq
No. of Pages
5
Main Subjects
Mathematics
Information Technology and Computer Science
Abstract EN
Control is important to improve hardware performance.
Most electronic systems are designed according to the device and then manufactured as an attached electronic device.
However, if conditions change or the factory is modernized then the control device must be replaced.
This is due to the complexity of the control unit represented by the program implementation algorithms, in addition to the time delay caused by digital and analog signal converters (ADC - DAC), and in this research it is replaced by deep neural networks It is a thriving field with practical and medical applications and is characterized by its ability to learn and train as it is a branch of machine learning and artificial intelligence.
The results proved that the functioning of the neural networks and their performance are better than the control system where the value of the difference between the two is equal to zero.
American Psychological Association (APA)
Makki, Ghadir Ibrahim& Husayn, Zahir M.. 2021. Controlling digital systems via intelligent networks. Journal of Kufa for Mathematics and Computer،Vol. 8, no. 1, pp.28-32.
https://search.emarefa.net/detail/BIM-1494950
Modern Language Association (MLA)
Makki, Ghadir Ibrahim& Husayn, Zahir M.. Controlling digital systems via intelligent networks. Journal of Kufa for Mathematics and Computer Vol. 8, no. 1 (Mar. 2021), pp.28-32.
https://search.emarefa.net/detail/BIM-1494950
American Medical Association (AMA)
Makki, Ghadir Ibrahim& Husayn, Zahir M.. Controlling digital systems via intelligent networks. Journal of Kufa for Mathematics and Computer. 2021. Vol. 8, no. 1, pp.28-32.
https://search.emarefa.net/detail/BIM-1494950
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 32
Record ID
BIM-1494950