MATEC Web Conf.
Volume 129, 2017International Conference on Modern Trends in Manufacturing Technologies and Equipment (ICMTMTE 2017)
|Number of page(s)||5|
|Section||Modern Manufacturing Technologies, Tools and Equipment|
|Published online||07 November 2017|
Neural network management of technological systems at the finish operations
Orel State University of I.S. Turgenev, Orel, Rassian Federation
* Corresponding author: firstname.lastname@example.org
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.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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