Proceedings of the International Conference on Economics, Management and Technologies 2020 (ICEMT 2020)

Intelligent System of Classification and Clusterization of Environmental Media for Economic Systems

Authors
A. A. Kuzmenko, L.B. Filippova, A.S. Sazonova, R.A. Filippov
Corresponding Author
L.B. Filippova
Available Online 12 May 2020.
DOI
10.2991/aebmr.k.200509.103How to use a DOI?
Keywords
threshold coefficient, Euclidian norm, centroid (semicenter), learning speed, normalization, Kohonen algorithm, self-education, stage, gradient descent
Abstract

The article discusses the features of using Kohonen neural network in the problems of classification and clustering of environmental media. Special attention is paid to data normalization, entering mathematical relationships, and geometric interpretation.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Economics, Management and Technologies 2020 (ICEMT 2020)
Series
Advances in Economics, Business and Management Research
Publication Date
12 May 2020
ISBN
978-94-6252-964-9
ISSN
2352-5428
DOI
10.2991/aebmr.k.200509.103How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - A. A. Kuzmenko
AU  - L.B. Filippova
AU  - A.S. Sazonova
AU  - R.A. Filippov
PY  - 2020
DA  - 2020/05/12
TI  - Intelligent System of Classification and Clusterization of Environmental Media for Economic Systems
BT  - Proceedings of the International Conference on Economics, Management and Technologies 2020 (ICEMT 2020)
PB  - Atlantis Press
SP  - 583
EP  - 586
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200509.103
DO  - 10.2991/aebmr.k.200509.103
ID  - Kuzmenko2020
ER  -