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Convolutional Neural Networks Training for Autonomous Robotics Cover

Convolutional Neural Networks Training for Autonomous Robotics

Management Systems in Production Engineering
Volume 29 (2021): Issue 1 (March 2021)
By: Alexander Lozhkin,  Konstantin Maiorov and  Pavol Bozek  
Open Access
|Dec 2020

Authors

Alexander Lozhkin

lag.izh@gmail.com

Kalashnikov Izhevsk State Technical University, Izhevsk

Konstantin Maiorov

Kalashnikov Izhevsk State Technical University, Izhevsk

Pavol Bozek

pavol.bozek@stuba.sk

Slovak University of Technology, Trnava
DOI: https://doi.org/10.2478/mspe-2021-0010 | Journal eISSN: 2450-5781 | Journal ISSN: 2299-0461
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Language: English
Page range: 75 - 79
Submitted on: Aug 1, 2020
Accepted on: Oct 1, 2020
Published on: Dec 2, 2020
Published by: STE Group sp. z.o.o.
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
autonomous robots,
convolutional neural networks,
learning,
autoromorphisms,
symmetry mechanism,
semiotic analyze
Related subjects:
Business and economics,
Business management,
Management accounting, financial controlling, cost calculation, investment,
Engineering,
Mechanical engineering,
Production technology,
Tools and methods,
Process engineering and industrial engineering

© 2020 Alexander Lozhkin, Konstantin Maiorov, Pavol Bozek, published by STE Group sp. z.o.o.
This work is licensed under the Creative Commons Attribution 4.0 License.

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