Neural network management of technological systems at the finish operations

In the article, problems of forming systems management on final operations by means of the neural networks providing high quality of functioning in conditions of uncertainty (insufficiency) of information about the control object and the external environment are considered. It is emphasized that neu...

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Bibliographic Details
Main Authors: Ovsyanikova, Irina, Tarapanov, Aleksandr
Format: Conference Proceeding
Language:English
Subjects:
Back propagation networks
Neural networks
Systems management
Online Access:Get full text
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Summary:In the article, problems of forming systems management on final operations by means of the neural networks providing high quality of functioning in conditions of uncertainty (insufficiency) of information about the control object and the external environment are considered. It is emphasized that neural networks define the most informative set of the diagnosing attributes and establish a strict correlation between a process condition and results of indirect measurements. It is also shown that the networks containing nonlinear components can be used for approximation of nonlinear mapping with any desirable degree of accuracy; parameters of neural networks can be adjusted in real time considering the input/output data. Advantages of back-propagation neural networks at management of process systems of final operations in order to ensure high quality of providing products are given.
ISSN:2261-236X
2274-7214
2261-236X
DOI:10.1051/matecconf/201712901025