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Flow Analysis and Its Applications for Equipment Design Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Deep Neural Networks Application in Models with Complex Technological Objects

Authors : Valeriy Meshalkin, Andrey Puchkov, Maksim Dli, Yekaterina Lobaneva

Published in: Cyber-Physical Systems: Advances in Design & Modelling

Publisher: Springer International Publishing

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Abstract

A method for creation of computer models in complex multiply connected technological objects based on the application of machine learning methods is described. For technological information processing hierarchical neural network structure integrated into cyber-physical systems of control is developed. It allows to monitor an object condition and forecast its development trends. A description for the algorithm and program, which performs the proposed method of model building, is given.

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previous chapter Conceptual Approach to Building a Digital Twin of the Production System
next chapter Intelligent Technologies in the Diagnostics Using Object’s Visual Images
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Metadata
Title
Deep Neural Networks Application in Models with Complex Technological Objects
Authors
Valeriy Meshalkin
Andrey Puchkov
Maksim Dli
Yekaterina Lobaneva
Copyright Year
2020
Book
Cyber-Physical Systems: Advances in Design & Modelling

Print ISBN: 978-3-030-32578-7

Electronic ISBN: 978-3-030-32579-4

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-32579-4_23

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