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Erschienen in:
Flow Analysis and Its Applications for Equipment Design Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

Deep Neural Networks Application in Models with Complex Technological Objects

verfasst von : Valeriy Meshalkin, Andrey Puchkov, Maksim Dli, Yekaterina Lobaneva

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

Verlag: 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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Vorheriges Kapitel Conceptual Approach to Building a Digital Twin of the Production System
Nächstes Kapitel Intelligent Technologies in the Diagnostics Using Object’s Visual Images
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Metadaten
Titel
Deep Neural Networks Application in Models with Complex Technological Objects
verfasst von
Valeriy Meshalkin
Andrey Puchkov
Maksim Dli
Yekaterina Lobaneva
Copyright-Jahr
2020
Buch
Cyber-Physical Systems: Advances in Design & Modelling

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

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

Copyright-Jahr: 2020

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