Outgoing Neural Network Signals.
Published in Chapter:
Research of the Reliability of the Electrical Supply System of Airports and Aerodromes Using Neural Networks
Serhii Mykolaiovych Boiko (Kremenchuk Flight College, Kharkiv National University of Internal Affairs, Ukraine), Yurii Shmelev (Kremenchuk Flight College, Kharkiv National University of Internal Affairs, Ukraine), Viktoriia Chorna (Kremenchuk Flight College, Kharkiv National University of Internal Affairs, Ukraine), and Marina Nozhnova (Kremenchuk Flight College, Kharkiv National University of Internal Affairs, Ukraine)
Copyright: © 2020
|Pages: 27
DOI: 10.4018/978-1-7998-1415-3.ch012
Abstract
The system of supplying airports and airfields is subject to high requirements for the degree of reliability. This is due to the existence of a large number of factors that affect the work of airports and airfields. In this regard, the control systems for these complexes must, as soon as possible, adopt the most optimal criteria for the reliability and quality of the solution. This complicates the structure of the electricity supply complex quite a lot and necessitates the use of modern, reliable, and high-precision technologies for the management of these complexes. One of them is artificial intelligence, which allows you to make decisions in a non-standard situation, to give recommendations to the operator to perform actions based on analysis of diagnostic data.